Datacommons

Quality – / 100new

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

Tool list unknown · tools last changed 2026-10-19 · checked 2026-10-20 10:03 UTC

Tool changes

• 2026-10-19datacommons_child_placesremoved

  Compare one Google Data Commons statistical variable across every child place of a parent — e.g. population of all US states, median income of every county in Texas (geoId/48, County), GDP of every country in Europe. Returns rows sorted by value with names and the publisher of each value.

• 2026-10-19datacommons_observationremoved

  Get the value of one Google Data Commons statistical variable for one place: the latest value (default), the value at a date, or the whole time series. Each value names its original publisher (US Census, World Bank, Eurostat, CDC, ...) and lists how alternate sources differ. Example: variable "Count_Person", place "country/USA".

• 2026-10-19datacommons_find_variableremoved

  Search Google Data Commons statistical variables by plain-language indicator, e.g. "median household income" -> Median_Income_Household, "unemployment rate" -> UnemploymentRate_Person. Returns variable ids with names and a match score. Use the id as `variable` in datacommons_observation.

• 2026-10-19datacommons_find_placeremoved

  Find the Google Data Commons place id (dcid) for a place name — country, state, county, city, region. Returns candidates with name and place type, e.g. "California" -> geoId/06, "India" -> country/IND. Use the dcid with datacommons_observation or datacommons_child_places. Narrow ambiguous names (Paris, Georgia) with place_type.

• 2026-10-19forgetremoved

  Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

• 2026-10-19recallremoved

  Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.

• 2026-10-19rememberremoved

  Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.

• 2026-10-19pipeworx_feedbackremoved

  Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipeworx connection — if the tool came from a different MCP server in your client (another vendor's Gmail, Splunk, Slack, etc. connector), we cannot fix it and reporting it here only delays you; file it with that server instead. Not sure? Pipeworx tool names are the ones this connection lists. Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. Filing without an account returns a `claim_token`; pass it back later as pipeworx_feedback({claim_token:"pwfb_…"}) to read whether it was fixed and what changed. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.

• 2026-10-19scan_competitor_ai_presenceremoved

  Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our competitors?". Returns ranked list with score, confidence, signal density per entity.

• 2026-10-19ai_visibility_checkremoved

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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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.