{"uid":"cap_pLXOgMqMHQPQBwoAo-GM9","slug":"supplier-qualification-data-quality-audit-record-quality-string-f51b3dca","name":"Supplier Qualification Data Quality Audit (Record Quality + String Normalisation + IQR Outlier Flags)","description":"Supplier qualification — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags 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-02-203?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"}}},"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_LCPtZ8GeUZ-voA2OrVrHV","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 supplied supplier qualification records: a record quality audit, string normalisation, and IQR-based outlier detection for checked_criteria and met_criteria fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and IQR outlier check on these supplier qualification rows? I have up to 50 rows with fields row_id, company_group, date, checked_criteria, and met_criteria — I want to audit the checked_criteria field for outliers and data quality issues.","exampleUseCases":[{"title":"Pre-onboarding supplier data cleanse","prompt":"I've got 120 supplier qualification records with company_group, date, checked_criteria, and met_criteria columns. Before I load them into our system, can you run a full record quality audit, normalise any string inconsistencies, and flag any IQR outliers in the checked_criteria field?"},{"title":"Quarterly vendor evaluation data review","prompt":"We just pulled our quarterly vendor evaluation data — about 80 rows with row_id, company_group, date, checked_criteria, and met_criteria. Can you audit the record quality, normalise the strings, and flag any outlier values in met_criteria using IQR?"},{"title":"Procurement data quality investigation","prompt":"Something looks off in our supplier qualification dataset — 35 rows covering group-a and group-b suppliers. Run a record quality audit, string normalisation, and IQR outlier detection on checked_criteria so I can identify which rows have data issues."}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit identifying missing, malformed, or inconsistent records; (2) string normalisation results for text fields like company_group; and (3) IQR-based outlier flags on the selected numeric field (checked_criteria or met_criteria), all applied to the supplied rows (up to 200).","failureModes":["More than 200 rows submitted — request rejected due to row limit","Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) on any row — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Invalid field enum value (not 'checked_criteria' or 'met_criteria') — rejected","Empty rows array — rejected due to minItems:1 constraint","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need a bundled, cost-efficient data quality pass on supplier qualification records specifically — covering string normalisation, completeness auditing, and numeric outlier detection in one call. Prefer it over building custom scripts when you have up to 200 rows with checked_criteria and met_criteria fields and want three complementary quality reports for $0.01 USDC. Not suitable if you need live external lookups, predictive scoring, or records exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:01.404Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-data-quality-audit-record-quality-string-f51b3dca"}