{"uid":"cap_qhJdo3ivoYPfQVDKfgCQJ","slug":"supplier-qualification-record-quality-audit-string-normalisation-93a986f8","name":"Supplier Qualification — Record Quality Audit + String Normalisation + Trailing Mean Series","description":"Supplier qualification — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied supplier qualification records (checked_criteria, met_criteria). 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-company-02-199?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","checked_criteria","met_criteria"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"met_criteria":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"checked_criteria":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","met_criteria":1,"company_group":"group-a","checked_criteria":10},{"date":"2026-10-02","row_id":"row-2","met_criteria":2,"company_group":"group-b","checked_criteria":20},{"date":"2026-10-03","row_id":"row-3","met_criteria":3,"company_group":"group-a","checked_criteria":15},{"date":"2026-10-04","row_id":"row-4","met_criteria":4,"company_group":"group-b","checked_criteria":30}],"maxItems":200,"minItems":1},"field":{"enum":["checked_criteria","met_criteria"],"type":"string","default":"checked_criteria"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_6W_rMVkdLqUlsxdbWRsi_","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 analytical reports on supplier qualification records: a record quality audit, string normalisation, and a trailing mean series calculation, for up to 200 rows.","exampleAgentPrompt":"Run a record quality audit, string normalisation, and trailing mean series with a window of 3 on my supplier qualification data — I have rows with company_group, date, checked_criteria, and met_criteria fields — and use checked_criteria as the numeric field for the mean series.","exampleUseCases":[{"title":"Procurement data quality check","prompt":"I have 150 supplier qualification records with company_group, date, checked_criteria, and met_criteria. Can you audit their data quality, normalise the company group strings, and calculate a trailing mean over checked_criteria with a window of 5?"},{"title":"Compliance criteria trend analysis","prompt":"Run a trailing mean series on the met_criteria field across my supplier qualification rows — there are about 80 rows — using a window of 4, and also include the quality audit and string normalisation reports."},{"title":"Supplier onboarding data review","prompt":"I'm reviewing a new batch of supplier qualification submissions — 60 rows — and need a quality audit to flag missing or malformed fields, string normalisation on the company group names, and a rolling mean of checked_criteria with window size 2."}],"resultDescription":"Returns three independent reports derived from the supplied rows: (1) a record quality audit flagging completeness and formatting issues, (2) a string normalisation report cleaning company_group values, and (3) a trailing mean series for the selected numeric field (checked_criteria or met_criteria) over the specified window. No external data is fetched; all analysis is performed on the submitted data.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) in any row — validation error","Date values not matching YYYY-MM-DD pattern — schema rejection","Window value outside 2–200 range — validation error","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection","Non-numeric or null values in selected numeric field may affect mean series output"],"whenToPreferThis":"Choose this endpoint when you need to perform three types of offline analytics (quality audit, string normalisation, trailing mean) simultaneously on supplier qualification records in a single low-cost call, without needing live data lookup, prediction, or external integrations. Ideal for batch data hygiene and trend analysis on pre-collected supplier compliance datasets of up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:57.595Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-record-quality-audit-string-normalisation-93a986f8"}