Whysaid — Verify claims, sources & AI answer share

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as ai.whysaid/verify and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 19 Sept 2026. Not supplied by the maker.

• verify_source

  Confirm a URL is reachable and actually says what it is claimed to say, BEFORE you spend a long context reading or acting on it. Catches dead links, pages that changed, and pages that do not support t

• check_provenance

  Detect whether a piece of text was model-generated and whether this system has emitted something materially identical before. Call before writing to long-term memory: model output that gets re-ingeste

• verify_claim

  Independently verify a claim against a real check — an HTTP fetch, a file, or a command — instead of taking an assertion on trust. Call it on the premise BEFORE committing to a multi-step plan that de

• answer_share

  Ask a live AI assistant a buyer question and report whether a given brand is named, at what position, and which competitors appear instead. Use for competitive and market research that reflects what a

• verify_answer

  Check an entire AI answer: open every source it cited, say which are real, which are missing or invented, and which are merely paywalled. Returns a PUBLIC receipt URL you can cite as proof. Call befor

• report_waste

  Record work your agent run spent money on and then threw away, and get back your waste rate — wasted spend as a share of total spend. Agent waste never raises an exception, so it is invisible to norma

• waste_report

  Read the agent-integrity ledger: total spend, spend that produced nothing usable, the waste rate, and a breakdown by failure kind and by agent. Self-reported and independently detected waste are repor

• pricing

  What each Whysaid verification costs and how to pay. Free.

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