{"uid":"cap_ixO6fzkVgAAshzQ1rDFPY","slug":"supplier-qualification-data-quality-suite-record-audit-string-09164729","name":"Supplier Qualification Data Quality Suite — Record Audit + String Normalisation + Two-Measure Correlation","description":"Supplier qualification — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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-02-204?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}}},"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_u95TwNbaBdrIlmMl5H2ql","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 supplier qualification row data: a record quality audit, string normalisation, and correlation between checked_criteria and met_criteria fields.","exampleAgentPrompt":"Can you run a full data quality audit, string normalisation, and correlation analysis on my supplier qualification records? I have up to 50 rows with fields like row_id, company_group, date, checked_criteria, and met_criteria that I need checked.","exampleUseCases":[{"title":"Procurement team batch quality check","prompt":"I have 80 supplier qualification records with checked_criteria and met_criteria scores across different company groups and dates — can you audit them for data quality issues, normalise the company group strings, and tell me how correlated the two criteria measures are?"},{"title":"Supplier onboarding data validation","prompt":"Before we onboard these 30 new suppliers, can you run a record quality audit and string normalisation on our qualification dataset and also check whether checked_criteria and met_criteria are correlated?"},{"title":"Monthly supplier scorecard analytics","prompt":"I need three reports on this month's supplier qualification data — a quality audit to catch bad rows, normalised company group names, and a correlation between how many criteria were checked versus how many were met across 120 rows."}],"resultDescription":"Returns three independent analytical reports generated locally from the supplied rows: (1) a record quality audit identifying malformed, missing, or out-of-range values; (2) a string normalisation report cleaning company_group and other text fields; and (3) a two-measure correlation report quantifying the statistical relationship between checked_criteria and met_criteria across up to 200 input rows.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, checked_criteria, met_criteria) cause row-level rejection","Dates not matching YYYY-MM-DD pattern are flagged or rejected","Null numeric values in both measure fields may degrade correlation output","Empty row array returns an error (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need three combined local analytical operations — record quality auditing, string normalisation, and two-measure statistical correlation — on a batch of up to 200 supplier qualification rows in a single cost-effective $0.01 USDC call. Prefer this over single-report endpoints when all three analyses are needed simultaneously. It performs no live lookups, external enrichment, or prediction, so it is suitable for offline/batch data hygiene and QA workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:42:10.431Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-data-quality-suite-record-audit-string-09164729"}