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Check what an AI assistant tells buyers about a company against the company's own pricing pages.

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Status
Unhealthy
Uptime
40.9% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
Repository
nandarona-inc/rootpublish-ai-facts
GitHub Stars
0
ChatGPT
–
Claude
–

TDQS

A3.6/5.0

Scored across 3 tools

Disambiguation5/5

Each tool occupies a distinct, ordered stage of a single workflow: generate buyer questions, read the company's statements, then verify the findings. The descriptions explicitly sequence them, leaving no overlap or risk of misselection.

Naming Consistency3/5

All names use consistent snake_case, but the semantic pattern is mixed: two are noun phrases (buyer_questions, company_statements) while one uses a verb_noun form (verify_findings). Readable, but not a single predictable convention.

Tool Count5/5

Three tools map exactly to the three phases of the facts-check pipeline, each earning its place with no redundancy. Well-scoped for the stated purpose.

Completeness4/5

The surface covers the full lifecycle of a facts check: framing questions, ingesting company statements, and validating discrepancies against quotes. No obvious dead ends, though there is no explicit final-report/export step.

Available Tools

3 tools
buyer_questionsAInspect

Start an AI facts check: returns the questions a buyer asks about a company. Answer them yourself, with web search, before reading anything from the company.

Inputs: site (required), depth, offer, company.

company_statementsBInspect

After you have answered the buyer questions: reads the company's pricing and service pages and returns its statements with instructions for comparing your answers.

Inputs: site (required), pages, company.

verify_findingsBInspect

Keeps only the differences whose quotes are really in your answer and on the company's page, and finds the pages your answer cited that carry a wrong figure. Call once per answer.

Inputs: site (required), answer (required), judgement (required), pages.

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