Wikidata

Quality – / 100not scored

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 2026-10-19 16:20 UTC

Tool changes

• 2026-10-19wikidata_recent_changesremoved

  Newest items created or edited on Wikidata right now, from the live MediaWiki recent-changes feed. Answers "which Wikidata item was created most recently", "what QIDs were created today", "what changed on Wikidata in the last hour", "recent edits to Wikidata items". Returns each change newest-first with its Q-id, revision id, previous revision id, UTC timestamp, editing user, edit comment and byte size, plus a cursor for paging further back.

• 2026-10-19get_wikidata_factsremoved

  Structured facts about a Wikidata entity in HUMAN-READABLE form — property names and values resolved to labels, not raw P/Q codes. PREFER OVER get_entity for "what is X's <attribute>", "facts about X", "X's date of birth / capital / population". E.g. Q42 (Douglas Adams) -> {"date of birth":["1952-03-11..."],"occupation":["writer",...],"place of birth":["Cambridge"]}. Also returns lastrevid and modified, the revision these statements were read at, for questions asking about an item's state after its latest edit. Pass "language" (comma/pipe-joined for several) for facts and labels in languages other than English. Pass a Q-id from search_entities.

• 2026-10-19get_entityremoved

  Get full Wikidata entity by ID (e.g., "Q42" for Douglas Adams, "Q5" for human, "Q1764" for Budapest). Returns labels, descriptions, aliases, claims/statements (properties and values), sitelinks, and the revision the data came from — lastrevid plus the modified timestamp — so live statements can be pinned to a specific edit. Pass "language" (comma/pipe-joined for several) to get labels/descriptions in languages other than English, side by side. For checking several ids at once, use get_entities instead of looping this.

• 2026-10-19search_entitiesremoved

  Search Wikidata entities by label or alias (e.g., "Albert Einstein", "Python programming language", "Tokyo"). Returns entity IDs, labels, descriptions, and aliases. Useful for finding the Wikidata ID of any concept.

• 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.

• 2026-10-19rememberremoved

  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.

• 2026-10-19suggest_questionsremoved

  What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass `topic` (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

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.