{"servers":[{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.aidatatools-dev/data-quality-gate","description":"No-LLM deterministic dataset-quality verdict and score for AI agents. Free MCP tool.","title":"Data Quality Gate","version":"0.1.0","websiteUrl":"https://www.aidatatools.dev","remotes":[{"type":"streamable-http","url":"https://www.aidatatools.dev/api/mcp_server"}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-08-09T14:57:51.228615Z","publishedAt":"2026-08-09T14:57:51.228615Z","updatedAt":"2026-08-09T14:57:51.228615Z","isLatest":false}}},{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.aidatatools-dev/data-quality-gate","description":"Deterministic dataset-quality verdict, score and per-check facts for AI agents. No LLM.","title":"Data Quality Gate","version":"0.2.0","websiteUrl":"https://www.aidatatools.dev","remotes":[{"type":"streamable-http","url":"https://www.aidatatools.dev/api/mcp_server"}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-08-10T07:55:03.481802Z","publishedAt":"2026-08-10T07:55:03.481802Z","updatedAt":"2026-08-10T07:55:03.481802Z","isLatest":false}}},{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.aidatatools-dev/data-quality-gate","description":"Post-scrape data cleaner, no LLM: repairs mojibake, HTML, invisible chars. Plus a verdict.","title":"Data Quality Gate - deterministic post-scrape cleaner + verdict","version":"0.3.0","websiteUrl":"https://www.aidatatools.dev/llms.txt","remotes":[{"type":"streamable-http","url":"https://www.aidatatools.dev/api/mcp_server"}],"_meta":{"io.modelcontextprotocol.registry/publisher-provided":{"boundary":"20 rules, published in full and free at GET https://www.aidatatools.dev/api/clean -- readable before paying. 7 are applied automatically (information-preserving), 5 need an explicit opt-in (they change row count, type or schema), and 8 are only ever reported, with no option to turn them on: near-duplicates are never merged, ambiguous placeholders are never nulled ('None' is a surname, 'NA' is Namibia), full NFKC is never applied (it rewrites 10^2 to 102), and failed extractions ('captcha', 'access denied') are never deleted -- that value is what tells you the record must be re-scraped. Impossible values are never repaired at all.","docs":{"boundary":"https://www.aidatatools.dev/api/clean","full":"https://www.aidatatools.dev/llms-full.txt","openapi":"https://www.aidatatools.dev/openapi.json","summary":"https://www.aidatatools.dev/llms.txt"},"guarantees":"Deterministic and idempotent. No value is emptied, retyped or reordered by an automatic rule. A repair that would introduce a defect the original did not have is reverted and flagged. The audited tier's ledger restores the input byte for byte.","measured":"Real 100-row Amazon scrape, 57,956 nested string values: 453 repairs, 0 reverts, 0 values emptied. A control set of legitimate-but-suspicious data (French accents, Persian ZWNJ, emoji ZWJ, 10^2, AT&T, surname 'None', 'NA') comes back byte-for-byte identical: 0 changes, 11 flags.","positioning":"Deterministic post-scrape data cleaner and quality gate. Repairs how data was ENCODED -- residual HTML, mojibake ('Café' -> 'Café'), invisible characters, non-breaking spaces -- and never what it SAYS. No LLM: identical input always yields byte-identical output, so results can be cached, replayed and audited.","tags":["data cleaning","scraping repair","post-scrape sanitization","deterministic data repair","mojibake correction","encoding repair","scraper output cleaning","auditable data repair"],"tools":{"check_dataset_quality":"FREE here. The full quality verdict: score, per-check facts, and RELIABLE / USABLE_WITH_CLEANING / UNRELIABLE. Bought once per source, then cached.","clean_scraped_data":"Free to call, but it does NOT return the repaired data -- its response has no 'data' key. It reports which rules would fire on your data and what needs your decision, then names the paid call that hands the data back: POST https://www.aidatatools.dev/api/clean, $0.04 via x402, no account or signup. Call it after every extraction run -- a verdict is cached per source, but dirt is produced fresh by every run.","clean_scraped_data_audited":"Same, pointing at POST https://www.aidatatools.dev/api/clean/audit, $0.12: the repaired data plus a replayable, reversible ledger of every transformation."},"why_repair_is_paid":"Detection is free on this endpoint and always has been. The repaired artifact is the paid product, because it is re-bought on every extraction run rather than cached like a verdict. Both cleaning tools say so in their own descriptions, before they are called."}}},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-08-12T07:23:32.533208Z","publishedAt":"2026-08-12T07:23:32.533208Z","updatedAt":"2026-08-12T07:23:32.533208Z","isLatest":true}}}],"metadata":{"count":3}}