{"uid":"cap_Z3kSrEECuzTLqESZ2AvOy","slug":"third-party-reviews-record-quality-audit-string-normalisation-9dc7005d","name":"Third Party Reviews — Record Quality Audit & String Normalisation","description":"Third party reviews — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied third party reviews records (vendors_reviewed, outstanding_actions). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-security-24-001?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__DTL05WGzjSeZWri6lxyj","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":"Audits data quality and normalises strings for third-party review records (vendors_reviewed, outstanding_actions) across up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and string normalisation on my third-party review data? I have 4 rows with fields like vendors_reviewed and outstanding_actions — here are the rows: row-1 on 2026-10-01 in group-a with 10 vendors reviewed and 1 outstanding action, row-2 on 2026-10-02 in group-b with 20 vendors reviewed and 2 outstanding actions.","exampleUseCases":[{"title":"Vendor review data quality check","prompt":"I've got a batch of third-party review records with vendors_reviewed and outstanding_actions counts across different control groups. Can you audit the data quality and normalise all the strings? I'll send you the rows — there are about 50 of them dated from 2026-10-01 through 2026-11-20."},{"title":"Compliance audit before reporting","prompt":"Before I submit our quarterly vendor compliance report, can you run a quality audit and string normalisation on the third-party review records? I have rows for group-a and group-b with vendors_reviewed and outstanding_actions values that need to be checked for issues."},{"title":"Identify anomalies in outstanding actions data","prompt":"Something looks off in our outstanding_actions numbers across control groups in our vendor review tracking sheet. Can you audit the record quality and normalise the strings for me? I have about 30 rows spanning October 2026 that I'd like checked."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit flagging data issues, inconsistencies, missing values, and anomalies across the submitted rows; and (2) a string normalisation report detailing how text fields have been standardised. Both reports are generated locally without external lookups or live data enrichment, covering up to 200 submitted rows.","failureModes":["Submitting more than 200 rows returns a validation error — batching required","Missing required fields (row_id, date, vendors_reviewed, outstanding_actions) causes row-level rejection","Malformed dates not matching YYYY-MM-DD pattern trigger a schema validation error","Null values in vendors_reviewed or outstanding_actions are accepted but may reduce audit report coverage","Payment failure (insufficient USDC or x402 protocol error) prevents endpoint execution"],"whenToPreferThis":"Choose this endpoint when you need a combined record quality audit and string normalisation pass on third-party review data in a single low-cost call. It is ideal for batch validation of up to 200 rows containing vendor review counts and outstanding actions across control groups, where no live lookups, predictions, or external enrichment are needed — pure local analytical processing. At $0.01 USDC for both reports, it suits automated pipelines that need lightweight, repeatable data hygiene checks before downstream reporting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T12:42:13.142Z","isFirstParty":false,"canonicalSlug":"third-party-reviews-record-quality-audit-string-normalisation-9dc7005d"}