{"uid":"cap_RiwgFm_RVoaXarZsdKpce","slug":"third-party-reviews-data-quality-suite-audit-normalisation-a1d0914b","name":"Third Party Reviews Data Quality Suite — Audit, Normalisation & Deduplication","description":"Third party reviews — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication for supplied third party reviews records (vendors_reviewed, outstanding_actions). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-security-24-191?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","vendors_reviewed","outstanding_actions"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"control_group":{"type":"string","default":"","maxLength":80},"vendors_reviewed":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"outstanding_actions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","control_group":"group-a","vendors_reviewed":10,"outstanding_actions":1},{"date":"2026-10-02","row_id":"row-2","control_group":"group-b","vendors_reviewed":20,"outstanding_actions":2},{"date":"2026-10-03","row_id":"row-3","control_group":"group-a","vendors_reviewed":15,"outstanding_actions":3},{"date":"2026-10-04","row_id":"row-4","control_group":"group-b","vendors_reviewed":30,"outstanding_actions":4}],"maxItems":200,"minItems":1}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_ax610Ee7_H2Xql9RPZKep","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs three local analytical reports on third-party review records: record quality audit, string normalisation, and exact row deduplication for up to 200 rows of vendor review data.","exampleAgentPrompt":"Can you audit my third-party review records for data quality issues, normalise any inconsistent strings, and flag exact duplicate rows? I've got up to 50 rows with fields like row_id, date, control_group, vendors_reviewed, and outstanding_actions.","exampleUseCases":[{"title":"Vendor review dataset pre-processing cleanup","prompt":"Before I load this into our reporting dashboard, can you run a quality audit, string normalisation, and exact deduplication check on my third-party vendor review data? It's about 80 rows with date, control_group, vendors_reviewed, and outstanding_actions columns."},{"title":"Compliance audit on outstanding actions","prompt":"I need to verify the integrity of our third-party review records before the compliance meeting — can you audit for bad data, normalise any inconsistent text fields, and remove exact duplicate rows? We have around 120 rows tracking vendors_reviewed and outstanding_actions by control group."},{"title":"Quarterly review data deduplication","prompt":"We just exported our Q3 vendor review logs and I suspect there are duplicates and messy strings in there — can you run a dedup check, string normalisation, and full record quality audit on the 200 rows I'll send over?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values across all fields; (2) a string normalisation report identifying and correcting inconsistent text in string fields such as control_group; and (3) an exact row deduplication report identifying fully identical rows. All processing is done locally with no external lookups or predictions.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, vendors_reviewed, outstanding_actions) cause row-level validation errors","Malformed date strings not matching YYYY-MM-DD pattern rejected","Numeric fields outside the allowed range (-1e12 to 1e12) flagged as invalid","Empty array input returns an error"],"whenToPreferThis":"Choose this endpoint when you need a cost-effective ($0.01 USDC for all three reports) batch data quality pass on third-party vendor review records specifically containing vendors_reviewed and outstanding_actions fields, with up to 200 rows, and you do not need live lookups, ML predictions, or external enrichment — just fast, local audit, normalisation, and deduplication.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T06:48:09.138Z","isFirstParty":false,"canonicalSlug":"third-party-reviews-data-quality-suite-audit-normalisation-a1d0914b"}