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TipRanks

R0· no sign-in

Live TipRanks market data: analyst ratings, Smart Score, technicals, options, portfolios.

v1.2.0 · active · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality70needs work
Trust76of 100
Uptime, 30 days100%
Latency p50553 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "tipranks": {
      "type": "http",
      "url": "https://mcp.tipranks.com/mcp/"
    }
  }
}
claude mcp add --transport http tipranks https://mcp.tipranks.com/mcp/
[mcp_servers.tipranks]
url = "https://mcp.tipranks.com/mcp/"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "tipranks": {
      "type": "remote",
      "url": "https://mcp.tipranks.com/mcp/",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "tipranks": {
      "type": "http",
      "url": "https://mcp.tipranks.com/mcp/"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=tipranks&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLnRpcHJhbmtzLmNvbS9tY3AvIn0%3D"
}
{
  "servers": {
    "tipranks": {
      "type": "http",
      "url": "https://mcp.tipranks.com/mcp/"
    }
  }
}
{
  "mcpServers": {
    "tipranks": {
      "httpUrl": "https://mcp.tipranks.com/mcp/"
    }
  }
}
extensions:
  "tipranks":
    enabled: true
    name: "tipranks"
    type: streamable_http
    uri: "https://mcp.tipranks.com/mcp/"
    timeout: 300

Quality 70 / 100needs work

protocol88 · weight 25
  • pass
    protocol.modernsupports 2026-07-28 (server/discover)
  • pass
    protocol.statelessanswers without a session
  • pass
    protocol.transportstreamable HTTP
  • warn
    protocol.list_ttltools/list declares ttlMs 0, so clients re-fetch it on every use
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene79 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • warn
    tools.description_length15 tools have descriptions over 1,024 characters, which crowds the context
  • pass
    tools.schemasevery tool has an object input schema
  • pass
    tools.annotations71 of 71 tools declare readOnlyHint or destructiveHint
  • pass
    tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
  • warn
    tools.token_costabout 20,781 tokens to load every tool
  • warn
    tools.api_dump71 tools, 100% named like REST operations: looks like an API mapped one endpoint per tool
stability25 · weight 15
  • warn
    stability.changes15 tool changes in 30 days
  • fail
    stability.rug_pull5 tools kept their name but changed most of their description in 30 days; review before trusting them
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

71 tools, about 20,781 tokens to load them all · tool set 88b849271118 · tools last changed 2026-10-19 · checked 2026-10-19 20:06 UTC

Tool changes

  • get_options_contractchangeddescriptionmeaning changed
    before

    Snapshot one OCC contract — price, OI, intraday OHLCV, last trade. The contract_ticker is an OCC-format symbol like 'O:AAPL260520C00205000' (O: + underlying + YYMMDD + C/P + strike-in-thousandths-8-digits). The 'O:' prefix is optional. Quotes are typically delayed ~15 minutes. Greeks and implied volatility are not available from this data source. Args: contract_ticker: OCC contract symbol.

    after · 49% of words in common

    Snapshot one OCC contract — price, OI, intraday OHLCV, last trade. The contract_ticker is an OCC-format symbol like 'O:AAPL260520C00205000' (O: + underlying + YYMMDD + C/P + strike-in-thousandths-8-digits). The 'O:' prefix is optional. Quotes are typically delayed ~15 minutes. GREEKS AND IV: the results carry price, OI, OI change, volume, day OHLC and last_trade_date; delta/gamma/theta/vega, implied volatility and bid/ask are not part of this data. When the user asks for them, call this tool, present what it returns, and state plainly that those fields are unavailable. Report only values that appear in the results, and leave greeks and IV unestimated, including rules of thumb. Args: contract_ticker: OCC contract symbol.

  • get_options_chainchangeddescription
    before

    Contracts at one expiration, enriched with price + OI + volume. Each row: ticker (OCC), contract_type, strike, name, price, volume, open_interest, open_interest_change, change_percent, day_open / high / low, last_trade_date. Quotes are typically delayed ~15 minutes. Greeks and implied volatility are NOT exposed by this data source — do not fabricate them. Args: ticker: Underlying (e.g. 'AAPL'). expiration_date: One of the dates from get_options_expirations (YYYY-MM-DD). contract_type: '' for both, or 'call' or 'put'. strike_gte: Filter strikes >= this value (optional). strike_lte: Filter strikes <= this value (optional). limit: Max contracts to return (default 50).

    after · 63% of words in common

    Contracts at one expiration, enriched with price + OI + volume. Each row: ticker (OCC), contract_type, strike, name, price, volume, open_interest, open_interest_change, change_percent, day_open / high / low, last_trade_date. Quotes are typically delayed ~15 minutes. GREEKS AND IV: the results carry price, open interest and volume; delta/gamma/theta/vega and implied volatility are not part of this data. When the user asks for greeks, IV or a '30-delta call' style query, fetch the chain first (get_options_expirations, then this tool), present the matching strikes with price, open interest and volume, and state plainly that greeks and IV are unavailable. Report only values that appear in the results, and leave delta and IV unestimated, including rules of thumb. Args: ticker: Underlying (e.g. 'AAPL'). expiration_date: One of the dates from get_options_expirations (YYYY-MM-DD). contract_type: '' for both, or 'call' or 'put'. strike_gte: Filter strikes >= this value (optional). strike_lte: Filter strikes <= this value (optional). limit: Max contracts to return (default 50).

  • get_options_expirationschangeddescription
    before

    List future expiration dates for a ticker's listed options. Excludes past expirations. Use the result as input to get_options_chain. Args: ticker: Underlying ticker (e.g. 'AAPL').

    after · 61% of words in common

    List future expiration dates for a ticker's listed options. Excludes past expirations. Use the result as input to get_options_chain. Also use it FIRST when the user asks for greeks, IV or delta on a ticker's options: the chain it leads to is the data we can present. Args: ticker: Underlying ticker (e.g. 'AAPL').

  • get_etf_holdingschangedinput schema
  • get_ai_stock_analysischangedinput schema
  • get_crypto_historicalchangeddescription
    before

    Daily OHLC price history for a cryptocurrency, covering the whole date range you ask for. Chart-ready: while the range fits in one response, each row is the price feed's own daily row — {symbol, date, open, high, low, close, volume, change, changePercent, vwap} — newest first, ordered for direct plotting as a price history. A range too long to return day by day is aggregated into coarser OHLC bars rather than cut short. `interval` names which (weekly/monthly/quarterly/yearly), each bar spans `date` to `endDate`, and a bar's high/low are that period's real extremes. Aggregated bars carry the same fields except `vwap`, which the feed defines per session only. Re-request a narrower from_date/to_date for daily rows. `summary` always describes the FULL requested window, computed from the daily data: its first and last close with dates, its high and low with dates, and the trailing changes the window reaches back far enough to support. Base any "starting price", "a year ago" or "period high/low" claim on `summary`, or on a bar that is actually present. `summary.windowHigh`/`windowLow` describe THIS window. A quote tool's yearHigh/yearLow cover a rolling 52 weeks — a different period — so label those as 52-week figures. For the current level alone, call get_crypto_quote. Args: symbol: Cryptocurrency symbol (e.g. 'BTCUSD' for Bitcoin) from_date: Start date YYYY-MM-DD (optional) to_date: End date YYYY-MM-DD (optional)

    after · 94% of words in common

    Daily OHLC price history for a cryptocurrency, covering the whole date range you ask for. Chart-ready: while the range fits in one response, each row is the price feed's own daily row — {symbol, date, open, high, low, close, volume, change, changePercent, vwap} — newest first, ordered for direct plotting as a price history. A range too long to return day by day is aggregated into coarser OHLC bars rather than cut short. `interval` names which (weekly/monthly/quarterly/yearly), each bar spans `date` to `endDate`, and a bar's high/low are that period's real extremes. Aggregated bars carry the same fields except `vwap`, which the feed defines per session only. Re-request a narrower from_date/to_date for daily rows. `summary` always describes the FULL requested window, computed from the daily data: its first and last close with dates, its high and low with dates, and the trailing changes the window reaches back far enough to support. Base any "starting price", "a year ago" or "period high/low" claim on `summary`, or on a bar that is actually present. `summary.windowHigh`/`windowLow` describe THIS window. A quote tool's yearHigh/yearLow are the feed's trailing range, roughly the past 12-13 months — a different period — so label those as trailing-year figures. For the current level alone, call get_crypto_quote. Args: symbol: Cryptocurrency symbol (e.g. 'BTCUSD' for Bitcoin) from_date: Start date YYYY-MM-DD (optional) to_date: End date YYYY-MM-DD (optional)

  • get_crypto_quotechangeddescriptionmeaning changed
    before

    Returns the real-time price quote for a specific cryptocurrency. Common symbols: BTCUSD (Bitcoin), ETHUSD (Ethereum), SOLUSD (Solana), BNBUSD (BNB), XRPUSD (XRP), ADAUSD (Cardano), DOGEUSD (Dogecoin). Args: symbol: Cryptocurrency symbol (e.g. 'BTCUSD' for Bitcoin)

    after · 45% of words in common

    Returns the real-time price quote for a specific cryptocurrency. Common symbols: BTCUSD (Bitcoin), ETHUSD (Ethereum), SOLUSD (Solana), BNBUSD (BNB), XRPUSD (XRP), ADAUSD (Cardano), DOGEUSD (Dogecoin). yearHigh / yearLow are the feed's trailing-year range, roughly the past 12-13 months: call them trailing-year figures. For a year-to-date or calendar-year change, a dated extreme or an exact 52-week figure use get_crypto_historical, since the quote does not date its extremes. Args: symbol: Cryptocurrency symbol (e.g. 'BTCUSD' for Bitcoin)

  • get_index_historicalchangeddescription
    before

    Daily OHLC price history for a major market index, covering the whole date range you ask for. Chart-ready: while the range fits in one response, each row is the price feed's own daily row — {symbol, date, open, high, low, close, volume, change, changePercent, vwap} — newest first, ordered for direct plotting as an index history. A range too long to return day by day is aggregated into coarser OHLC bars rather than cut short. `interval` names which (weekly/monthly/quarterly/yearly), each bar spans `date` to `endDate`, and a bar's high/low are that period's real extremes. Aggregated bars carry the same fields except `vwap`, which the feed defines per session only. Re-request a narrower from_date/to_date for daily rows. `summary` always describes the FULL requested window, computed from the daily data: its first and last close with dates, its high and low with dates, and the trailing changes the window reaches back far enough to support. Base any "starting level", "a year ago" or "period high/low" claim on `summary`, or on a bar that is actually present. `summary.windowHigh`/`windowLow` describe THIS window. A quote tool's yearHigh/yearLow cover a rolling 52 weeks — a different period — so label those as 52-week figures. For the current level alone, call get_index_quote. Args: symbol: Index symbol (e.g. '^GSPC' for S&P 500) from_date: Start date YYYY-MM-DD to_date: End date YYYY-MM-DD (defaults to today)

    after · 85% of words in common

    Daily OHLC price history for a major market index, covering the whole date range you ask for. Chart-ready: while the range fits in one response, each row is the price feed's own daily row — {symbol, date, open, high, low, close, volume, change, changePercent, vwap} — newest first, ordered for direct plotting as an index history. A range too long to return day by day is aggregated into coarser OHLC bars rather than cut short. `interval` names which (weekly/monthly/quarterly/yearly), each bar spans `date` to `endDate`, and a bar's high/low are that period's real extremes. Aggregated bars carry the same fields except `vwap`, which the feed defines per session only. Re-request a narrower from_date/to_date for daily rows. `summary` always describes the FULL requested window, computed from the daily data: its first and last close with dates, its high and low with dates, and the trailing changes the window reaches back far enough to support. Base any "starting level", "a year ago" or "period high/low" claim on `summary`, or on a bar that is actually present. `summary.windowHigh`/`windowLow` describe THIS window. A quote tool's yearHigh/yearLow are the feed's trailing range, roughly the past 12-13 months — a different period — so label those as trailing-year figures. For the current level alone, call get_index_quote. Takes the same index symbols and broker/CFD-name mapping as get_index_quote — e.g. ^NDX for 'US Tech 100' / 'Nasdaq 100', ^IXIC for 'Nasdaq Composite', ^GDAXI for 'Germany 40'. Args: symbol: Index symbol (e.g. '^GSPC' for S&P 500) from_date: Start date YYYY-MM-DD to_date: End date YYYY-MM-DD (defaults to today)

  • get_index_quotechangeddescriptionmeaning changed
    before

    Returns the real-time quote for a major market index. Index symbols: ^GSPC (S&P 500), ^IXIC (Nasdaq), ^DJI (Dow Jones), ^GSPTSE (TSX), ^FTSE (FTSE 100), ^N225 (Nikkei), ^AORD (All Ords), ^HSI (Hang Seng), ^STI (STI), ^BSESN (Sensex), ^VIX (VIX). Args: symbol: Index symbol (e.g. '^GSPC' for S&P 500)

    after · 27% of words in common

    Returns the real-time quote for a major market index. Index symbols: ^GSPC (S&P 500), ^NDX (Nasdaq 100), ^IXIC (Nasdaq Composite), ^DJI (Dow Jones), ^RUT (Russell 2000), ^GSPTSE (TSX), ^FTSE (FTSE 100), ^GDAXI (DAX 40), ^FCHI (CAC 40), ^STOXX50E (Euro STOXX 50), ^IBEX (IBEX 35), ^N225 (Nikkei), ^AXJO (ASX 200), ^AORD (All Ords), ^HSI (Hang Seng), ^STI (STI), ^BSESN (Sensex), ^VIX (VIX). Broker / CFD names map to the index they track (the same map the AI chat uses): 'US Tech 100' / 'NAS100' / 'USTEC' -> ^NDX; 'US 500' / 'SPX500' -> ^GSPC; 'Wall Street 30' / 'US 30' -> ^DJI; 'US 2000' / 'US Small Cap 2000' -> ^RUT; 'Germany 40' / 'GER40' -> ^GDAXI; 'UK 100' -> ^FTSE; 'France 40' -> ^FCHI; 'Euro 50' / 'EU50' -> ^STOXX50E; 'Spain 35' -> ^IBEX; 'Japan 225' -> ^N225; 'Australia 200' -> ^AXJO; 'Hong Kong 50' -> ^HSI. 'Nasdaq Composite' is ^IXIC; 'Nasdaq 100' and the Nasdaq 100 CFD names above are ^NDX — different indices at different levels, so quote the one the user named and name it. A bare 'Nasdaq' is ambiguous: say which one you quote. For an index not listed here (e.g. 'S&P 100'), call it by its own symbol — a listed index with a similar name is a different index. yearHigh / yearLow are the feed's trailing-year range, roughly the past 12-13 months: call them trailing-year figures. For a year-to-date or calendar-year change, a dated extreme or an exact 52-week figure use get_index_historical, since the quote does not date its extremes. Args: symbol: Index symbol (e.g. '^GSPC' for S&P 500)

  • get_forex_historicalchangeddescription
    before

    Daily OHLC price history for a forex pair, covering the whole date range you ask for. Chart-ready: while the range fits in one response, each row is the price feed's own daily row — {symbol, date, open, high, low, close, volume, change, changePercent, vwap} — newest first, ordered for direct plotting as an exchange-rate history. A range too long to return day by day is aggregated into coarser OHLC bars rather than cut short. `interval` names which (weekly/monthly/quarterly/yearly), each bar spans `date` to `endDate`, and a bar's high/low are that period's real extremes. Aggregated bars carry the same fields except `vwap`, which the feed defines per session only. Re-request a narrower from_date/to_date for daily rows. `summary` always describes the FULL requested window, computed from the daily data: its first and last close with dates, its high and low with dates, and the trailing changes the window reaches back far enough to support. Base any "starting rate", "a year ago" or "period high/low" claim on `summary`, or on a bar that is actually present. `summary.windowHigh`/`windowLow` describe THIS window. A quote tool's yearHigh/yearLow cover a rolling 52 weeks — a different period — so label those as 52-week figures. For the current level alone, call get_forex_quote. `volume` on a forex row is a per-venue tick count, not market turnover — FX is over-the-counter. Read it as a liquidity hint at best. Args: symbol: Forex pair symbol (e.g. 'EURUSD') from_date: Start date YYYY-MM-DD (optional) to_date: End date YYYY-MM-DD (optional)

    after · 94% of words in common

    Daily OHLC price history for a forex pair, covering the whole date range you ask for. Chart-ready: while the range fits in one response, each row is the price feed's own daily row — {symbol, date, open, high, low, close, volume, change, changePercent, vwap} — newest first, ordered for direct plotting as an exchange-rate history. A range too long to return day by day is aggregated into coarser OHLC bars rather than cut short. `interval` names which (weekly/monthly/quarterly/yearly), each bar spans `date` to `endDate`, and a bar's high/low are that period's real extremes. Aggregated bars carry the same fields except `vwap`, which the feed defines per session only. Re-request a narrower from_date/to_date for daily rows. `summary` always describes the FULL requested window, computed from the daily data: its first and last close with dates, its high and low with dates, and the trailing changes the window reaches back far enough to support. Base any "starting rate", "a year ago" or "period high/low" claim on `summary`, or on a bar that is actually present. `summary.windowHigh`/`windowLow` describe THIS window. A quote tool's yearHigh/yearLow are the feed's trailing range, roughly the past 12-13 months — a different period — so label those as trailing-year figures. For the current level alone, call get_forex_quote. `volume` on a forex row is a per-venue tick count, not market turnover — FX is over-the-counter. Read it as a liquidity hint at best. Args: symbol: Forex pair symbol (e.g. 'EURUSD') from_date: Start date YYYY-MM-DD (optional) to_date: End date YYYY-MM-DD (optional)

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 76 / 100

no-repository
provenance55
liveness100
freshness65
hygiene80

+dns-namespace +website +reachable +uptime-100% ~updated-91d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://mcp.tipranks.com/mcp/ streamable-httpnoneyes100%553 ms2026-07-282026-10-19

Tools (71)

get_ai_stock_analysisread-onlyTipRanks AI Stock Analysis — the 0-100 AI score for one or more stocks. Six frontier models (OpenAI, Anthropic, Gemini, xAI, DeepSeek, Perplexity) research each covered stock independently. Every model returns its own 0-100 score, rating (outperform / neutral / underperform), price target, and a weighted factor breakdown across financial performance, technical analysis, valuation, earnings call and corporate events. Use for: "what's the AI score for NVDA", "AI rating on my watchlist", "compare the AI scores of AAPL, MSFT and NVDA", "why do the models disagree on Tesla". Pass every symbol in one call — a multi-ticker call returns one compact row per ticker, which is what a watchlist or ranking question needs. A single ticker also returns every model's score with its factor breakdown plus the bull and bear key points. This is NOT the Smart Score (1-10, eight quantitative factors). It is a separate system, and the two routinely disagree by design. `ai_score` is the headline score and matches the AI Stock Analysis page; `consensus` holds the cross-model average, the high and low scoring models, and the split of rating labels. `upside_pct` is the model's price target against the current price. `as_of` is when the report was generated — reports regenerate on new earnings or a significant price move, so an older date means nothing material has changed since. Coverage is a subset of the stock universe and excludes ETFs. Symbols with no report at all come back under `not_covered`; symbols that are covered but lack a report from the requested `provider` come back separately under `no_report_from_provider`, each listing the models that did score them — so a missing provider is never reported as "this stock has no AI analysis". Args: tickers: Comma-separated tickers (e.g. 'AAPL' or 'AAPL,MSFT'), max 25. provider: Optional single provider to report on. Omit for the headline score that matches the website. detail: 'consensus' (default) or 'full' to add each model's written reasoning. Ignored on multi-ticker calls. Returns JSON: {stocks: [{ticker, company, ai_score, rating, headline_model, price, price_target, upside_pct, as_of, reflects, consensus: {models, avg_score, score_high, score_low, ratings_split, avg_price_target, avg_upside_pct, reports_dated}, providers: [...], key_points: [...]}], not_covered: [...], no_report_from_provider: [{ticker, covered_by}]}. `consensus.reports_dated` appears only when the models did not all run on the same date; `as_of` is always the headline report's own date.
get_all_commodities_quotesread-onlyReturns real-time quotes for all commodities in a single request. Each row carries the commodity's display name and a changePercentage derived from price and change, alongside the raw price, change and volume. Use the name given in the response — several symbols are non-mnemonic (HEUSX is Lean Hogs, SBUSX is Sugar, ZSUSX is Soybeans).
get_all_crypto_quotesread-onlyReal-time crypto quotes: the largest coins, each with a display name. The feed carries 4,771 coins in alphabetical order, which is far more than one response can hold — so this returns `limit` of them ordered by market capitalisation, largest first, and the response states how many were left out. Pass `symbols` for specific coins, or call get_crypto_quote for a single one. Read `note` before summarising: it says how many coins the slice covers out of how many exist, so a "top coins" answer is not mistaken for the whole market. `volume` on a crypto row is the source venue's own figure and is not a common unit across coins — some rows count coins, others quote-currency turnover. It does not rank the market and coins cannot be compared on it. Args: symbols: Comma-separated coins (optional; overrides the ranked slice) limit: How many ranked coins to return (optional)
get_all_forex_quotesread-onlyReal-time forex quotes: the most-traded pairs, each with a display name. The feed carries 1,550 pairs in alphabetical order, which is far more than one response can hold — so this returns the most prominent `limit` of them (majors first, then by volume), and the response states how many were left out. Pass `symbols` for specific pairs, or call get_forex_quote for a single one. Read `note` before summarising: it says how many pairs the slice covers out of how many exist, so a "top pairs" answer is not mistaken for the whole market. `volume` on a forex row is a per-venue tick count, not market turnover — FX is over-the-counter and most pairs report 0. It does not rank the market. Args: symbols: Comma-separated pairs (optional; overrides the ranked slice) limit: How many ranked pairs to return (optional)
get_analysts_by_firmread-onlyList analysts at a given firm (case-insensitive substring match). Each row: {name, firm, rank, avg_return_1y_pct, covered_tickers_sample, total_covered}. Results are deduped by analyst name (keeping the best rank) and sorted by rank ascending. When `sector` is provided, the per-analyst coverage list is filtered to tickers in that sector and the row shape becomes {name, firm, rank, avg_return_1y_pct, sector, covered_tickers}. Args: firm: Firm name or fragment (e.g. 'Goldman' matches 'Goldman Sachs'). sector: Optional lowercase sector (e.g. 'technology', 'healthcare').
get_articleread-onlyFetch the full text of a single TipRanks article. Resolve a TipRanks article URL (e.g. from get_latest_news / get_assets_news), a slug, or a numeric post id to its title, excerpt, full body text (HTML-stripped, capped at 8000 chars), author, category, date, canonical URL, and any tagged tickers. Args: identifier: Numeric post id, slug, or a tipranks.com article URL. Returns a JSON object, or {"error": ...} when no matching TipRanks article exists (e.g. the URL points to an aggregated third-party site, which is not stored in TipRanks).
get_assets_dataread-onlyReturns key TipRanks stock data for one or more tickers. Args: tickers: Ticker symbols — a comma-separated string ("AAPL,MSFT,C") or a JSON array (["AAPL","MSFT","C"]). Both are accepted. Returns JSON {"assetsData": [...one compact entry per ticker...]}. This is a headline summary tuned to stay small enough for a whole portfolio to fit in a single response. Fields per entry: - ticker, companyName, sector, stockType, marketCap - url: canonical TipRanks page for the stock — use as the citation source. - price: latest close. - smartScore: TipRanks composite 1-10 (combines the 8 datasets — analyst, blogger, news, hedge-fund, insider, etc.). - analystConsensus / bestAnalystConsensus: rating label from ALL covering analysts vs. the top-performing ones ("Strong Buy".."Strong Sell"); a divergence between the two is itself a signal. - priceTarget: average 12-month target. priceTargetUpside: decimal vs. current price (0.05 = +5%). - peRatio, dividendYield (decimal). - newsSentiment, hedgeFundsScore, insiderScore: 0-1 sentiment signals. - ytdGainPct, yearlyGainPct: price performance as a percent (12.5 = +12.5%, 3944 = +3944%). - nextEarningsDate, and daysUntilEarnings (whole days from today — quote this rather than computing the gap from the date yourself). Floats are rounded and dates are day-resolution. For deeper per-ticker detail (full price history, 13F / insider breakdowns, blogger counts, financials) use the dedicated tools (get_stock_prices, get_hedge_fund_holdings, get_insider_transactions, get_financials, ...).
get_assets_eventsread-onlyReturns upcoming dividend and earnings events for tickers. Args: tickers: Comma-separated ticker symbols (e.g. "AAPL,MSFT") from_date: Optional start date (ISO format, e.g. "2026-03-01") to_date: Optional end date (ISO format, e.g. "2026-06-01") Returns: dividend dates, earnings dates, and coupon dates per ticker.
get_assets_newsread-onlyReturns recent news articles for tickers, aggregated from many news sites, each with a sentiment tag and source URL (headlines only — no article body). For general/market TipRanks news without a specific ticker, or for an article excerpt, use get_latest_news. This tool serves the CURRENT news window only: it returns each ticker's most recent articles, and from_date just trims that recent set. For news from a specific past date range, use get_latest_news with from_date + to_date, which searches the full archive. Args: tickers: Comma-separated ticker symbols count: Number of articles to return (default 10) from_date: Optional 'YYYY-MM-DD' recency floor (filtered on `date`). Returns JSON: {"assetNewsArticles": [...]}. Each entry: - ticker, companyName - sentiment: bucketed signal — one of "VeryPositive", "Positive", "Neutral", "Negative", "VeryNegative". Derived from TipRanks news-sentiment classifier on the article text. - siteName, url, title - date, addedOn, publishTime, articleTimestamp: redundant date fields. addedOn is when TipRanks ingested it; publishTime is the source's stated publication time. Prefer publishTime.
get_assets_warningsread-onlyReturns risk warnings for tickers. Args: tickers: Comma-separated ticker symbols Returns: warning type, date, and detail fields per ticker.
get_best_performing_expertsread-onlyReturns the best-performing experts ranked by TipRanks success rate and average return. Args: expert_type: One of: analyst, insider, hedgeFund, blogger, firm (default: analyst) num: Number of results (default: 10, max: 25)
get_blogger_sentimentread-onlyReturns the financial-blogger consensus for a stock plus the underlying blogger articles. Distinct from get_recent_analyst_ratings (Wall Street analysts) and get_investor_sentiment (TipRanks crowd positioning). Args: ticker: Stock ticker (e.g. 'AAPL') limit: Max blogger articles to return (default 20, max 50) Returns JSON: {ticker, company, consensus, articles}. - consensus: {bullish_pct, bearish_pct, neutral_pct, bullish_count, bearish_count, neutral_count, score, avg}. - articles: [{blogger, title, url, site, date}] (newest first).
get_bulls_bears_summaryread-onlyReturns the discrete bull and bear key points for stocks — the individual sentence bullets TipRanks shows on its stock pages, each tagged with a topic. Args: tickers: Comma-separated tickers (e.g. 'AAPL,TSLA') Returns JSON: {"data": [...one entry per ticker...]}. Each entry has: - ticker, updatedOn - bullish: list of bullish point sentences - bearish: list of bearish point sentences - key_points: list of {sentiment, topic, point} for the full set.
get_buybacksread-onlyReturns share-buyback / stock-repurchase activity in one of two modes: - CROSS-MARKET (no ticker): latest reported buybacks across all companies, sorted by dollar amount spent (largest first). Use for 'biggest buybacks', 'top repurchase companies'. A single company may appear multiple times for different fiscal quarters. - PER-TICKER (ticker provided): historical quarterly buyback series for one ticker. Use for 'AAPL buyback history', 'MSFT repurchase trend'. Args: ticker: Optional. If provided, returns the per-ticker historical series. If empty, returns the cross-market list. limit: Cross-market mode only — max rows (default: 25, max: 100). page: Cross-market mode only — page number, 1-based (default: 1). Returns: Cross-market mode: { totalCount, data: [{ ticker, companyName, fiscalPeriodEndDate, stockEarningsDate, eps, marketCapUSD, totalValueSpentToRepurchaseShares, epsCurrencyTypeCode }] }. Per-ticker mode: quarterly time series, chart-ready as a bar or line plot of buyback spend over time — [{ date, marketCapEndFiscalPeriod, totalValueSpentToRepurchaseShares, ratio (decimal — buyback / market cap) }, ...].
get_clinical_trialsread-onlyReturns the FDA / clinical-trial calendar — upcoming drug approval target dates and the tickers behind each drug. Window is fixed at today − 14 days to today + 60 days, sorted by date ascending. Use for upcoming FDA decisions, PDUFA dates, biotech catalysts. Returns: { data: [{ targetDate, clinicalTrials: [{ drugName, ticker }] }], count, window }.
get_commodity_historicalread-onlyDaily OHLC price history for a commodity, covering the whole date range you ask for. Chart-ready: while the range fits in one response, each row is the price feed's own daily row — {symbol, date, open, high, low, close, volume, change, changePercent, vwap} — newest first, ordered for direct plotting as a price history. A range too long to return day by day is aggregated into coarser OHLC bars rather than cut short. `interval` names which (weekly/monthly/quarterly/yearly), each bar spans `date` to `endDate`, and a bar's high/low are that period's real extremes. Aggregated bars carry the same fields except `vwap`, which the feed defines per session only. Re-request a narrower from_date/to_date for daily rows. `summary` always describes the FULL requested window, computed from the daily data: its first and last close with dates, its high and low with dates, and the trailing changes the window reaches back far enough to support. Base any "starting price", "a year ago" or "period high/low" claim on `summary`, or on a bar that is actually present. `summary.windowHigh`/`windowLow` describe THIS window. A quote tool's yearHigh/yearLow are the feed's trailing range, roughly the past 12-13 months — a different period — so label those as trailing-year figures. For the current level alone, call get_commodity_quote. Args: symbol: Commodity symbol (e.g. 'GCUSD' for gold) from_date: Start date YYYY-MM-DD (optional) to_date: End date YYYY-MM-DD (optional)
get_commodity_quoteread-onlyReturns the real-time price quote for a specific commodity. Common symbols: GCUSD (gold), SIUSD (silver), CLUSD (crude oil), NGUSD (natural gas), HGUSD (copper), PLUSD (platinum). yearHigh / yearLow are the feed's trailing-year range, roughly the past 12-13 months: call them trailing-year figures. For a year-to-date or calendar-year change, a dated extreme or an exact 52-week figure use get_commodity_historical, since the quote does not date its extremes. Args: symbol: Commodity symbol (e.g. 'GCUSD' for gold)
get_company_kpisread-onlyReturns company-specific operational KPIs: segment revenue, geographic breakdown, active users/devices, gross margins by type, opex breakdown. Full history runs back to 2014 and is large, so this returns the most recent `count` periods per metric by default — pass count=0 for the full history, or `group` to fetch a single group. Args: ticker: Stock ticker (e.g. 'AAPL', 'MSFT') count: Most-recent periods per metric (default 8, max 40; 0 = full history) group: Optional single group by slug or title Returns JSON: {"ticker", "lastUpdated", "groups": [...]}. Each group has slug, title, and metrics: [{title, slug, unit, series: [{periodEnd, value}]}].
get_crypto_historicalread-onlyDaily OHLC price history for a cryptocurrency, covering the whole date range you ask for. Chart-ready: while the range fits in one response, each row is the price feed's own daily row — {symbol, date, open, high, low, close, volume, change, changePercent, vwap} — newest first, ordered for direct plotting as a price history. A range too long to return day by day is aggregated into coarser OHLC bars rather than cut short. `interval` names which (weekly/monthly/quarterly/yearly), each bar spans `date` to `endDate`, and a bar's high/low are that period's real extremes. Aggregated bars carry the same fields except `vwap`, which the feed defines per session only. Re-request a narrower from_date/to_date for daily rows. `summary` always describes the FULL requested window, computed from the daily data: its first and last close with dates, its high and low with dates, and the trailing changes the window reaches back far enough to support. Base any "starting price", "a year ago" or "period high/low" claim on `summary`, or on a bar that is actually present. `summary.windowHigh`/`windowLow` describe THIS window. A quote tool's yearHigh/yearLow are the feed's trailing range, roughly the past 12-13 months — a different period — so label those as trailing-year figures. For the current level alone, call get_crypto_quote. Args: symbol: Cryptocurrency symbol (e.g. 'BTCUSD' for Bitcoin) from_date: Start date YYYY-MM-DD (optional) to_date: End date YYYY-MM-DD (optional)
get_crypto_newsread-onlyLatest cryptocurrency news — a market-wide feed across all coins (not filtered to a single asset), ordered newest-first: article headlines, snippets, and source URLs. Read-only, no side effects. Use for broad crypto/market headlines. For news about a specific holding use get_assets_news; for the general (non-crypto) editorial feed use get_latest_news.
get_crypto_quoteread-onlyReturns the real-time price quote for a specific cryptocurrency. Common symbols: BTCUSD (Bitcoin), ETHUSD (Ethereum), SOLUSD (Solana), BNBUSD (BNB), XRPUSD (XRP), ADAUSD (Cardano), DOGEUSD (Dogecoin). yearHigh / yearLow are the feed's trailing-year range, roughly the past 12-13 months: call them trailing-year figures. For a year-to-date or calendar-year change, a dated extreme or an exact 52-week figure use get_crypto_historical, since the quote does not date its extremes. Args: symbol: Cryptocurrency symbol (e.g. 'BTCUSD' for Bitcoin)
get_dividend_historyread-onlyDividend payment history for a ticker. Chart-ready: includes the current snapshot (yield %, payout ratio, frequency, annualised payout) plus two time series — a per-payment list [{ex_date, pay_date, amount, yield_pct, is_special, ...}] (newest first, capped at `count`) and an annual_totals list [{year, amount, yield_pct}] suitable for a yearly bar chart. All yields are emitted as percentages (4.5 = 4.5%), so plots don't need to know which underlying field used decimal vs. percentage encoding. Use for: "AAPL dividend history", "yield trend over 5 years", "dividend growth chart", "is the payout sustainable". Args: ticker: Stock ticker (e.g. 'AAPL', 'JNJ'). count: Number of most-recent individual payments to return (default 16, max 100). The annual_totals series is always returned in full.
get_earnings_calendarread-onlyReturns upcoming earnings dates across all stocks for a date range. Args: fromDate: Start date YYYY-MM-DD (default: today) toDate: End date YYYY-MM-DD (default: 14 days from now) exchange: Optional exchange filter, e.g. 'US' for US-only results
get_earnings_call_summaryread-onlyReturns the most recent earnings call summary for a ticker — management guidance text, overall call sentiment (positive / neutral / negative with a one-line rationale), and AI-extracted highlights and lowlights from the call as {title, content} bullets. This is a structured summary derived from the call, not the raw transcript text. Useful for "what did management say about X on the last call", "was the most recent call bullish or bearish", or "summarise the highlights from MSFT's latest earnings". Only the most recent quarter is stored per ticker; for historical EPS actual-vs-estimate series use get_earnings_history. Args: ticker: Stock ticker (e.g. 'AAPL', 'NVDA'). Returns: { ticker, fiscal_year, fiscal_quarter, guidance, sentiment: { label, summary }, highlights: [ { title, content }, ... ], lowlights: [ { title, content }, ... ] }
get_earnings_historyread-onlyQuarterly earnings time series for a ticker. Chart-ready: each quarter row is {period, report_date, actual_eps, estimate_eps, eps_surprise_pct, prior_year_eps, eps_yoy_change_pct, actual_revenue, estimate_revenue, revenue_surprise_pct, net_income, ...}, ordered oldest-first so a bar chart of actual vs. estimate EPS, or a YoY trend line, plots directly. Also returns next_quarter — the upcoming scheduled report with the consensus estimate, low/high estimate band, and expected report date — for forward-looking charts. Use for: "AAPL earnings history", "earnings surprise trend", "did NVDA beat last quarter", "EPS beat/miss the past 4 quarters". Args: ticker: Stock ticker (e.g. 'AAPL', 'NVDA'). quarters: Number of most-recent reported quarters to return (default 8, max 40).
get_economic_calendarread-onlyReturns upcoming and recent economic events (Fed meetings, jobs reports, CPI, GDP). Defaults to US events at High/Medium impact only because the raw feed includes hundreds of low-impact items from every country. Args: daysBack: Days to look back (default 0) daysForward: Days to look forward (default 7) fromDate: Start date ISO format (alternative to daysBack) toDate: End date ISO format (alternative to daysForward) countries: Comma-separated country names to keep (default 'US'). Pass an empty string to disable the country filter. Common values: 'US','UK','Germany','Japan','China','Canada','France'. impact: Comma-separated impact levels to keep (default 'High,Medium'). Valid values: 'High','Medium','Low'. Pass empty to keep all levels. limit: Max events returned after filtering (default 50, max 200). Returns: { totalMatched, returned, filters, economicCalendar: [...] }.
get_etf_analysisread-onlyReturns analyst consensus for ETFs based on weighted average of holdings' ratings. Args: tickers: Comma-separated ETF tickers (e.g. 'QQQ,SPY,VTI')
get_etf_exposuresread-onlyReturns the list of ETFs that hold a specific stock, sorted by holding market value (largest first). Args: ticker: Stock ticker (e.g. 'MSFT', 'AAPL') page: Page number (default 1) page_size: Results per page (default 20, max 100) Returns per ETF: etfTicker, etfCompanyName, etfCategory, aum, expenseRatio, holdingWeight (% of ETF in this stock), holdingMarketValue ($), holdingNumOfShares, weightInAsset (% of stock's outstanding shares held by this ETF), etfAnalystConsensusScore, etfSmartScore. Also returns totalCount (total ETFs holding the stock).
get_etf_forecastread-onlyReturns the analyst forecast for a specific ETF: consensus, price target, upside. Args: ticker: ETF ticker (e.g. 'QQQ')
get_etf_holdingsread-onlyList the constituents of an ETF. Base mode (default): returns every holding with its weight % in the index — {ticker, name, weight_pct}. Top-performers mode: pass `sort_by` (one of '5d', 'month', 'ytd', 'year') and a `limit` > 0 to get the top N constituents by that period's return. Each row carries weight_pct, current_price, return_pct for the chosen period, and analyst_consensus. Use the top-performers mode for questions like 'which stocks in XLK rose most this week' without separately calling a screener. Args: ticker: ETF ticker (e.g. 'SPY', 'QQQ'). sort_by: '' for full list, or one of '5d', 'month', 'ytd', 'year'. limit: 0 to return all constituents; >0 (max 50) to return top N. A negative or non-numeric limit is REJECTED rather than treated as 0 — `limit` picks the mode here, so defaulting an unusable one would answer a ranked top-N request with the full unranked list.
get_etf_screenerread-onlyFilters ETFs by asset class, category, and focus. Args: assetClass: Alternatives, AssetAllocation, Commodities, Currency, Equity, FixedIncome category: BroadMarket, Sector, HighDividendYield, SizeAndStyle, Corporate, etc. focus: LargeCap, SmallCap, MidCap, TotalMarket, Financials, HealthCare, InformationTechnology, Energy, RealEstate, HighDividendYield, HighYield, etc. Use this for a sector question ('tech ETFs' -> InformationTechnology); the screener has no `sector` filter. limit: Rows to return (default 20, max 100).
get_etf_top_stocksread-onlyReturns the top stock holdings within an ETF along with their analyst ratings. Args: ticker: ETF ticker (e.g. 'QQQ')
get_financialsread-onlyFinancial statements time series for a ticker, chart-ready. Each period is a flat ~25-field object spanning the income statement (revenue, gross / operating / EBITDA / net margins, EPS, R&D), the balance sheet (total assets, total debt, total equity, net debt, cash + short-term investments), the cash flow statement (operating cash flow, free cash flow, capex, dividends paid, buybacks), and two computed ratios (current ratio, debt-to-equity). Margins are emitted as percentages — gross_margin_pct of 49.27 means 49.27%. Cash outflows (dividends_paid, buybacks) are returned as negative numbers, matching the source convention. Use for: "AAPL revenue and FCF over the last 10 years", "show margins trend", "is net debt rising", "EPS growth", "R&D as % of revenue". Args: ticker: Stock ticker (e.g. 'AAPL', 'NVDA'). period: 'annual' (default), 'quarterly', or 'ttm' (trailing twelve months). Annual periods extend ~9 years back; quarterly extends ~37 quarters back. count: Number of most-recent periods to return (default 5, max 40), ordered oldest-first inside the returned `periods` array.
get_forex_historicalread-onlyDaily OHLC price history for a forex pair, covering the whole date range you ask for. Chart-ready: while the range fits in one response, each row is the price feed's own daily row — {symbol, date, open, high, low, close, volume, change, changePercent, vwap} — newest first, ordered for direct plotting as an exchange-rate history. A range too long to return day by day is aggregated into coarser OHLC bars rather than cut short. `interval` names which (weekly/monthly/quarterly/yearly), each bar spans `date` to `endDate`, and a bar's high/low are that period's real extremes. Aggregated bars carry the same fields except `vwap`, which the feed defines per session only. Re-request a narrower from_date/to_date for daily rows. `summary` always describes the FULL requested window, computed from the daily data: its first and last close with dates, its high and low with dates, and the trailing changes the window reaches back far enough to support. Base any "starting rate", "a year ago" or "period high/low" claim on `summary`, or on a bar that is actually present. `summary.windowHigh`/`windowLow` describe THIS window. A quote tool's yearHigh/yearLow are the feed's trailing range, roughly the past 12-13 months — a different period — so label those as trailing-year figures. For the current level alone, call get_forex_quote. `volume` on a forex row is a per-venue tick count, not market turnover — FX is over-the-counter. Read it as a liquidity hint at best. Args: symbol: Forex pair symbol (e.g. 'EURUSD') from_date: Start date YYYY-MM-DD (optional) to_date: End date YYYY-MM-DD (optional)
get_forex_quoteread-onlyReturns the real-time exchange rate quote for a forex pair. Common pairs: EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD. yearHigh / yearLow are the feed's trailing-year range, roughly the past 12-13 months: call them trailing-year figures. For a year-to-date or calendar-year change, a dated extreme or an exact 52-week figure use get_forex_historical, since the quote does not date its extremes. A pair quotes the BASE currency (first three letters) in units of the QUOTE currency (last three): USDHUF 320 means 1 USD = 320 HUF. A rising rate, or a rate above its priceAvg50 / priceAvg200, is the base strengthening against the quote. changePercentage is measured against previousClose as of the quote's timestamp. Spot FX is closed from Friday 17:00 to Sunday 17:00 New York time; a quote stamped in that window shows the change as of the last close, not a move made that day. Args: symbol: Forex pair symbol (e.g. 'EURUSD')
get_hedge_fund_activityread-onlyReturns per-fund hedge-fund holdings and recent transactions for a ticker — which institutions hold it, how much each changed (bought/sold), the holding value, % of portfolio, and the fund's TipRanks rank/stars. Complements get_hedge_fund_holdings (the aggregate share-count timeseries). Args: ticker: Stock ticker (e.g. 'AAPL') limit: Max funds to return (default 25, max 100) Returns JSON: {ticker, company, sentiment, trend_action, trend_value, funds}. - funds: [{manager, institution, shares_change, direction, holding_value, pct_of_portfolio, as_of, rank, stars, is_active}].
get_hedge_fund_holdingsread-onlyHedge-fund share-count history for a ticker. Returns the most recent `limit` snapshots (max 60) plus a summary block (snapshot_count, first/last date and shares). Each row: {date, shares}. Sourced from quarterly 13F filings; lags by up to 45 days. For a snapshot of current sentiment without the timeseries, use get_assets_data and read hedgeFundSentimentData. Args: ticker: Stock ticker (e.g. 'AAPL'). limit: Max snapshots to return (default 60, max 60).
get_index_historicalread-onlyDaily OHLC price history for a major market index, covering the whole date range you ask for. Chart-ready: while the range fits in one response, each row is the price feed's own daily row — {symbol, date, open, high, low, close, volume, change, changePercent, vwap} — newest first, ordered for direct plotting as an index history. A range too long to return day by day is aggregated into coarser OHLC bars rather than cut short. `interval` names which (weekly/monthly/quarterly/yearly), each bar spans `date` to `endDate`, and a bar's high/low are that period's real extremes. Aggregated bars carry the same fields except `vwap`, which the feed defines per session only. Re-request a narrower from_date/to_date for daily rows. `summary` always describes the FULL requested window, computed from the daily data: its first and last close with dates, its high and low with dates, and the trailing changes the window reaches back far enough to support. Base any "starting level", "a year ago" or "period high/low" claim on `summary`, or on a bar that is actually present. `summary.windowHigh`/`windowLow` describe THIS window. A quote tool's yearHigh/yearLow are the feed's trailing range, roughly the past 12-13 months — a different period — so label those as trailing-year figures. For the current level alone, call get_index_quote. Takes the same index symbols and broker/CFD-name mapping as get_index_quote — e.g. ^NDX for 'US Tech 100' / 'Nasdaq 100', ^IXIC for 'Nasdaq Composite', ^GDAXI for 'Germany 40'. Args: symbol: Index symbol (e.g. '^GSPC' for S&P 500) from_date: Start date YYYY-MM-DD to_date: End date YYYY-MM-DD (defaults to today)
get_index_quoteread-onlyReturns the real-time quote for a major market index. Index symbols: ^GSPC (S&P 500), ^NDX (Nasdaq 100), ^IXIC (Nasdaq Composite), ^DJI (Dow Jones), ^RUT (Russell 2000), ^GSPTSE (TSX), ^FTSE (FTSE 100), ^GDAXI (DAX 40), ^FCHI (CAC 40), ^STOXX50E (Euro STOXX 50), ^IBEX (IBEX 35), ^N225 (Nikkei), ^AXJO (ASX 200), ^AORD (All Ords), ^HSI (Hang Seng), ^STI (STI), ^BSESN (Sensex), ^VIX (VIX). Broker / CFD names map to the index they track (the same map the AI chat uses): 'US Tech 100' / 'NAS100' / 'USTEC' -> ^NDX; 'US 500' / 'SPX500' -> ^GSPC; 'Wall Street 30' / 'US 30' -> ^DJI; 'US 2000' / 'US Small Cap 2000' -> ^RUT; 'Germany 40' / 'GER40' -> ^GDAXI; 'UK 100' -> ^FTSE; 'France 40' -> ^FCHI; 'Euro 50' / 'EU50' -> ^STOXX50E; 'Spain 35' -> ^IBEX; 'Japan 225' -> ^N225; 'Australia 200' -> ^AXJO; 'Hong Kong 50' -> ^HSI. 'Nasdaq Composite' is ^IXIC; 'Nasdaq 100' and the Nasdaq 100 CFD names above are ^NDX — different indices at different levels, so quote the one the user named and name it. A bare 'Nasdaq' is ambiguous: say which one you quote. For an index not listed here (e.g. 'S&P 100'), call it by its own symbol — a listed index with a similar name is a different index. yearHigh / yearLow are the feed's trailing-year range, roughly the past 12-13 months: call them trailing-year figures. For a year-to-date or calendar-year change, a dated extreme or an exact 52-week figure use get_index_historical, since the quote does not date its extremes. Args: symbol: Index symbol (e.g. '^GSPC' for S&P 500)
get_insider_transactionsread-onlyIndividual corporate-insider (officers/directors, Form 4) transactions for a ticker, newest first. Each row: insider_name, role, is_officer, is_director, action (e.g. "Auto Sell", "Grant/Award/Other Acquisition"), side (buy/sell), shares, price (approximate — value / shares; the source has no exact price), value, date, filing_link (the SEC Form-4 URL), and insider_stars. This is corporate-insider activity (Form 4). For retail/individual investor sentiment, use get_assets_data and read investorActivity. Args: ticker: Stock ticker (e.g. 'AAPL'). limit: Max rows to return (default 30, max 100).
get_investor_sentimentread-onlyReturns crowd / retail investor sentiment for a stock. Args: ticker: Stock ticker (e.g. 'NVDA') Returns JSON with these top-level keys: - investorStatsOverview: stats aggregated across ALL TipRanks portfolios that hold the ticker. Fields: * numberOfPortfolios: total active portfolios on the platform. * portfoliosHoldingStock: how many of them hold THIS ticker. * averageAllocation: average % allocation among holders (decimal). * percentOverLast30Days / percentOverLast7Days: change in the count of holders over the window (decimal; 0.013 = +1.3%). * investorScore: TipRanks' 0-1 score of how confident "the crowd" is on this stock; higher = more bullish positioning. * sectorAverageScore: investorScore averaged across the sector, for comparison. * sentiment: bucketed label — one of "VeryNegative", "Negative", "Neutral", "Positive", "VeryPositive". * sectorAverageSentiment: same bucket, sector-wide. - bestInvestorStatsOverview: same fields, but restricted to "Best Investors" — TipRanks users with top-decile portfolio returns over the trailing window. If investorStatsOverview and bestInvestorStatsOverview diverge (e.g. crowd is Positive but best investors are Negative), that's the headline signal. - ageDistribution: holders split by TipRanks account-tenure tier (NOT the investor's biological age): * eldest: oldest accounts on the platform * midRange: middle tier * youngest: newest accounts Each has percentHolders, last30DaysChange, last7DaysChange, and per-bucket averages (averageBeta, averageMonthlyReturn, dividendYield, averagePeRatio). - investorsAlsoBought: top other stocks held by people who hold this one (each: ticker, companyName, averageHoldingSize, lastSevenDayChange, lastThirtyDayChange, sector, sectorName, score, sentiment, marketCap, marketCapCurrencyCode). - investorsAlsoBoughtYoungest / MidRange / Eldest: same shape, filtered to that account-tenure bucket. Often shorter or empty for stocks held mostly by one cohort.
get_ipo_calendarread-onlyReturns upcoming and recent IPOs. Args: fromDate: Start date ISO format (default: today) toDate: End date ISO format (default: 30 days from now)
get_latest_newsread-onlyLatest TipRanks news articles (newest first) from TipRanks's own editorial/wire feed — each with a text excerpt, unlike get_assets_news. Use for general market news (no ticker), news on a specific stock with a short summary of each story, or to browse a news category. This is also the tool for news from a specific PAST date range — pass from_date AND to_date together; the archive holds years of stories, so a past window is answerable here even though get_assets_news only reaches recent articles. Args: tickers: Optional comma-separated tickers to filter by (e.g. 'NVDA,AAPL'). Omit for general market news. category: Optional single category (see the field description). from_date: Optional 'YYYY-MM-DD' recency floor. limit: Max articles to return (default 20). to_date: Optional 'YYYY-MM-DD' inclusive upper bound. Results are newest-first, so from_date alone returns today's news rather than news from around that date — add to_date to scope a window. Returns a JSON list of {id, title, excerpt, author, category, date, url, tickers}. To read a full article, pass its url or id to get_article.
get_market_commentaryread-onlyCached equities market sentiment snapshot. Returns {overallSentiment, atmosphere, keyThemes, tailwinds, headwinds}. Generated by TipRanks' AI pipeline with web search, refreshed every ~4 hours; this endpoint reads the cache only and does not trigger regeneration. If no recent cache exists, returns {"status": "unavailable"}. The content is AI-generated commentary, not authoritative TipRanks market data — present it as such to end users.
get_market_moversread-onlyReturns today's market movers: biggest gainers, losers, most active. Args: category: 1=DollarVolume, 2=PercentGainers, 3=PercentLosers, 4=GainersRegular, 5=LosersRegular, 6=UnusualVolume country: 1=US, 2=Canada, 3=UK num: Number of results
get_market_performanceread-onlyReturns market-wide performance for a specific country: average returns, sector breakdown, top/bottom performers. Args: country: Country code: 'us', 'ca', 'gb', 'de', 'il', 'au', 'hk', 'sg', etc.
get_my_usageread-onlyYour current TipRanks MCP usage against the monthly tool-call quota. Reports calls used this calendar month, your limit, how many remain, your plan tier, and when the quota resets (UTC). Handy to check before running a large batch of calls. This call is free — it never counts against the quota. What counts: every tool call is metered once whether or not it returns data, so an unrecognised ticker or an invalid argument costs the same as a successful call. The connection handshake (initialize, tools/list and the other discovery calls) is never metered, and neither is this tool. Calls refused for being over the limit are refunded on both ladders, so `used` settles at the cap rather than climbing while a client retries. It can still read higher than `limit` when the ceiling FELL mid-month — a complimentary grant expiring or being revoked, or a paid MCP subscription lapsing — and there it is the count of calls genuinely served before the cap dropped.
get_options_chainread-onlyContracts at one expiration, enriched with price + OI + volume. Each row: ticker (OCC), contract_type, strike, name, price, volume, open_interest, open_interest_change, change_percent, day_open / high / low, last_trade_date. Quotes are typically delayed ~15 minutes. GREEKS AND IV: the results carry price, open interest and volume; delta/gamma/theta/vega and implied volatility are not part of this data. When the user asks for greeks, IV or a '30-delta call' style query, fetch the chain first (get_options_expirations, then this tool), present the matching strikes with price, open interest and volume, and state plainly that greeks and IV are unavailable. Report only values that appear in the results, and leave delta and IV unestimated, including rules of thumb. Args: ticker: Underlying (e.g. 'AAPL'). expiration_date: One of the dates from get_options_expirations (YYYY-MM-DD). contract_type: '' for both, or 'call' or 'put'. strike_gte: Filter strikes >= this value (optional). strike_lte: Filter strikes <= this value (optional). limit: Max contracts to return (default 50).
get_options_contractread-onlySnapshot one OCC contract — price, OI, intraday OHLCV, last trade. The contract_ticker is an OCC-format symbol like 'O:AAPL260520C00205000' (O: + underlying + YYMMDD + C/P + strike-in-thousandths-8-digits). The 'O:' prefix is optional. Quotes are typically delayed ~15 minutes. GREEKS AND IV: the results carry price, OI, OI change, volume, day OHLC and last_trade_date; delta/gamma/theta/vega, implied volatility and bid/ask are not part of this data. When the user asks for them, call this tool, present what it returns, and state plainly that those fields are unavailable. Report only values that appear in the results, and leave greeks and IV unestimated, including rules of thumb. Args: contract_ticker: OCC contract symbol.
get_options_expirationsread-onlyList future expiration dates for a ticker's listed options. Excludes past expirations. Use the result as input to get_options_chain. Also use it FIRST when the user asks for greeks, IV or delta on a ticker's options: the chain it leads to is the data we can present. Args: ticker: Underlying ticker (e.g. 'AAPL').
get_options_unusual_tradesread-onlyRecent unusual option trades for an underlying (size/sweep alerts). Returns the most recent `limit` flagged trades with the side, strike, expiry, size, and notional value. Useful for spotting large bullish or bearish positioning. Args: ticker: Underlying ticker (e.g. 'AAPL'). limit: Max trades to return (default 25).
get_peersread-onlyPeer/competitor companies for a stock, with comparative metrics for side-by-side analysis. Read-only, no side effects. Use to find and compare a company against similar names (competitors, same-sector peers). For that company's own data use get_assets_data; for a sector-wide breakdown use get_sector_analysis.
get_politician_activityread-onlyReturns a specific politician's stock trades or holdings. First call get_politicians to find the politicianId. Args: politicianId: Politician ID from get_politicians activity: 'trades' or 'holdings'
get_politiciansread-onlyReturns the list of politicians tracked for trading activity. Returns: name, party, state, position, net worth, profile.
get_portfolio_analysisread-onlyReturns asset allocation by type/country/top stocks and distribution by sector, market cap, dividend yield, beta, and P/E. Args: portfolio_id: One of the IDs returned by list_my_portfolios.
get_portfolio_holdingsread-onlyReturns all holdings for one of your TipRanks portfolios. Per holding: ticker, shares, price, cost basis (AvgExecutionPrice), P/E ratio, dividend yield, market cap, sector, country, 52-week high/low, percentage of portfolio, beta, EPS. Plus total value, cash, stock count. Args: portfolio_id: One of the IDs returned by list_my_portfolios.
get_portfolio_overviewread-onlyReturns lifetime / 1mo / 6mo / 12mo / YTD returns, Sharpe ratio, and a monthly-return time series. The monthly history field is chart-ready — a list of {month, return} points suitable for direct plotting. Args: portfolio_id: One of the IDs returned by list_my_portfolios.
get_portfolio_performanceread-onlyReturns full performance: stats, gains, best trade, recent activity, a daily-yield time series benchmarked against S&P 500 (chart-ready — aligned dates with portfolio and benchmark yield columns, plot directly as overlaid lines), monthly returns, risk profile, beta, dividend yield/amount. Args: portfolio_id: One of the IDs returned by list_my_portfolios.
get_recent_analyst_ratingsread-onlyRecent Wall Street analyst rating actions on a single stock, covering the trailing 12 months (newest first). Each row carries the analyst's name and firm, the rating (Buy/Hold/Sell), the action (initiated/upgraded/downgraded/reiterated/maintained), the price target, and the analyst's TipRanks credibility (numOfStars 0-5, rank, success rate, average return) plus the source article title/quote. For the aggregate consensus and average/best price target, use get_assets_data instead. Args: ticker: Stock ticker (e.g. 'NVDA', 'AAPL'). Returns: a list of rating actions. recommendationDate is a 'MM/DD/YYYY' string; numOfStars is the analyst's 0-5 TipRanks star rating.
get_sector_analysisread-onlyReturns sector-level analysis for all 11 US sectors: average P/E, analyst upside, buy ratio, stock count. Sorted by average analyst upside.
get_stock_catalystread-onlyTipRanks-generated catalyst summary explaining why a stock is moving. Each entry: {ticker, summary, sentiment, updated} where sentiment is 'positive' | 'neutral' | 'negative'. Updated throughout the trading day. Use to explain today's move for a specific stock. Args: tickers: Comma-separated tickers (e.g. 'AMZN' or 'AMZN,NVDA').
get_stock_pricesread-onlyHistorical daily closing prices for up to 5 stocks or ETFs. Per ticker: {ticker, period, series:[{date, price}], summary} with summary fields first_price, last_price, change_pct, high, low, trading_days. Series is downsampled to ~250 evenly-spaced points (latest point always retained) so the payload stays small for charting. `period` must be one of: 1m, 3m, 6m, ytd, 1y, 2y, 3y, 5y, all. Args: tickers: Comma-separated tickers, up to 5 (e.g. 'AAPL,MSFT'). period: Lookback window (default 'ytd').
get_stock_quotesread-onlyReal-time price quote for one or more stocks or ETFs. Returns price, intraday OHLC, day change (amount + percent), volume, previous close, market cap, currency, exchange, and market-state flags (is_market_open / is_premarket / is_after_market). When extended-hours data is present, the entry includes a `pre_post_market` block — when the regular session is closed, that's the freshest price. For forex pairs use get_forex_quote; this endpoint is stocks/ETFs only. Args: tickers: Comma-separated tickers (e.g. 'AAPL' or 'AAPL,MSFT,NVDA').
get_stock_splitsread-onlyReturns the stock-split calendar with split ratios and direction (Forward / Reverse). Use for upcoming splits, reverse-split alerts, historical split lookup. Args: fromDate: Start date YYYY-MM-DD (default: 30 days ago) toDate: End date YYYY-MM-DD (default: 30 days from now) type: Optional filter — 'Forward' or 'Reverse' (case-insensitive). Empty string returns both. limit: Max rows (default: 25, max: 100) ticker: Optional single symbol. Widen fromDate to search a company's history — the default window is only today ± 30 days. Returns: { totalCount, data: [{ ticker, companyName, effectiveDate, type, splitRatio, splitRatioText }] }. A filtered call (ticker or type) also returns `matched` and `window`: `totalCount` is every split in the window, `matched` how many passed the filter. The window is read in full before filtering, so an empty result means there genuinely are none rather than that the first page held none.
get_technical_analysisread-onlyReturns RSI, MACD, Stochastics, ADX, moving averages, and pivot points for stocks and ETFs. Covers stocks and ETFs alike (e.g. 'NVDA', 'SPY', 'QQQ', 'VTI') with the same payload shape. For an ETF's analyst consensus, forecast, holdings or exposures, use get_etf_analysis, get_etf_forecast, get_etf_top_stocks, or get_etf_exposures. Args: tickers: Comma-separated stock or ETF tickers (e.g. 'NVDA' or 'NVDA,SPY'). timeFrame: '1m','5m','15m','30m','1h','5h','day','3d','week','2w','month' (default: 'day') '5h' is slow upstream: request it for one ticker per call. Returns: summary scores, oscillators (RSI, MACD, Stochastics, ADX, CCI, Williams %R, ATR, ROC), moving averages, and pivot points. Labels are strings. indicator: "Buy", "Neutral" or "Sell" (null on ATR and pivot points). scoreScale: "StrongBuy", "Buy", "Neutral", "Sell" or "StongSell" (the upstream's own spelling).
get_ticker_earningsread-onlyUpcoming and recent earnings dates for a specific stock — scheduled report dates with EPS/revenue estimates where available. Read-only, no side effects. Use this to find when a company reports. For past actual-vs-estimate results use get_earnings_history; for a cross-market schedule use get_earnings_calendar.
get_top_hedge_fund_managersread-onlyReturns top-performing hedge fund managers ranked by success rate and returns. Args: num: Number of managers to return (default 10, max 100 — the upstream returns 100 for anything higher)
get_top_rated_stocksread-onlyReturns stocks most recommended by the best-performing analysts (by analyst track record). Args: num: Number of results sector: Sector filter (financial, healthcare, technology, etc.) or empty for all country: 'US', 'Canada', 'UK', 'Global'. NOTE: UK tickers use GB: prefix but country param is 'UK'.
get_top_smart_score_stocksread-onlyReturns stocks with the highest TipRanks Smart Score (perfect 10 / Outperform). Args: num: Number of results sector: Sector filter (financial, healthcare, technology, etc.) or empty for all country: 'US', 'Canada', 'UK', 'Germany', 'Spain', 'France', 'India', 'Italy', 'Israel', 'Australia', 'Singapore', 'Japan', 'HongKong', 'Global'. NOTE: UK tickers use GB: prefix but the country param is 'UK'.
get_trending_stocksread-onlyReturns currently trending stocks that recently received analyst ratings. Args: num: Number of results (default 20) filter: exactly one of 'analysts', 'bloggers', 'both'. Anything else is refused — the feed would otherwise answer it with the 'both' list. daysAgo: Days to look back: 3, 7, or any number from 30 up. Every other value (1, 2, 14…) is rejected by the feed. Default 7. Pass 30 or more when filtering by sector or country to ensure enough results — narrow windows often return fewer than 5 stocks in a specific sector. trendingType: exactly 'best-rated' or 'worst-rated' (empty for all). Anything else is refused — the feed would otherwise return the unranked list. country: 'US','Canada','UK','Germany','Israel','Australia' etc. sector: One of energy, financial, general, healthcare, industrials, services, technology, utilities. Empty for all sectors. This feed answers a sector it does not recognise with financial stocks rather than an error, so anything outside that list comes back refused instead. Rows returned for 'energy' are energy companies (Exxon, Chevron, BP) even though the feed tags them UTILITIES. Returns: ticker, SmartScore, analyst/blogger sentiment, hedge fund trend, price target, buy/hold/sell counts per stock.
list_my_portfoliosread-onlyList the portfolios you authorized this connector to access. Returns the portfolios that were on your TipRanks account at the time you signed in, each with its id and name. If you've added or renamed portfolios since, re-authorize to refresh.

Schemas: list_tools.

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Official server.json
{
  "name": "com.tipranks/tipranks",
  "title": "TipRanks",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.tipranks.com/mcp/",
      "type": "streamable-http"
    }
  ],
  "version": "1.2.0",
  "websiteUrl": "https://mcp.tipranks.com",
  "description": "Live TipRanks market data: analyst ratings, Smart Score, technicals, options, portfolios."
}