{"uid":"cap_T7CEGNBFOU4aA787rMzjk","slug":"supplier-qualification-data-quality-suite-record-audit-string-868f8799","name":"Supplier Qualification Data Quality Suite — Record Audit, String Normalisation & Dataset Comparison","description":"Supplier qualification — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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-02-207?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"met_criteria":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"checked_criteria":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","met_criteria":1,"company_group":"group-a","checked_criteria":10},{"date":"2026-10-02","row_id":"row-2","met_criteria":2,"company_group":"group-b","checked_criteria":20},{"date":"2026-10-03","row_id":"row-3","met_criteria":3,"company_group":"group-a","checked_criteria":15},{"date":"2026-10-04","row_id":"row-4","met_criteria":4,"company_group":"group-b","checked_criteria":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","checked_criteria","met_criteria"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","met_criteria":3,"company_group":"group-a","checked_criteria":17},{"date":"2026-10-04","row_id":"row-4","met_criteria":4,"company_group":"group-b","checked_criteria":33}],"maxItems":200,"minItems":0}}},"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_mUcOWjdMLgPqHa830pZhH","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 records: a record quality audit, string normalisation, and keyed dataset comparison between two supplied datasets (up to 200 rows each).","exampleAgentPrompt":"Can you audit the quality of my supplier qualification records, normalise the company_group strings, and compare them against last month's dataset? I have up to 50 rows with fields like row_id, company_group, date, checked_criteria, and met_criteria — I need all three reports in one go.","exampleUseCases":[{"title":"Pre-ingestion supplier data validation","prompt":"Before we load this batch of supplier qualification records into our system, can you run a quality audit on them and flag any rows with missing or malformed checked_criteria or met_criteria values? I have about 80 rows with row_id, company_group, date, and the two criteria fields."},{"title":"Detecting drift between two supplier datasets","prompt":"I have two versions of our supplier qualification data — one from this quarter and one from last quarter — both with the same row_ids. Can you compare them side by side and tell me which rows have changed in their checked_criteria or met_criteria values?"},{"title":"Standardising supplier group names before reporting","prompt":"Our supplier qualification export has inconsistent company_group labels — some have trailing spaces, mixed casing, or slight spelling differences. Can you normalise those strings across all 120 rows so we get clean, consistent group names for our report?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit highlighting missing values, nulls, outliers, and structural issues in the supplier qualification rows; (2) a string normalisation report showing standardised versions of text fields like company_group; and (3) a keyed dataset comparison report diffing the primary and reference datasets row-by-row using row_id as the key, identifying added, removed, or changed records.","failureModes":["More than 200 rows submitted — endpoint rejects with an error as maxItems is 200","Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) cause validation failure","Invalid date format (not YYYY-MM-DD) causes schema rejection","row_id values exceeding 80 characters are rejected","No live or external data is returned — only analysis of supplied data; users expecting external lookups will be disappointed"],"whenToPreferThis":"Choose this endpoint when you need to perform three supplier-qualification-specific analytical operations in a single low-cost call: quality auditing, string normalisation, and keyed dataset comparison. It is best suited for offline/batch validation of up to 200 rows of supplier qualification data (checked_criteria, met_criteria) without needing any external data lookups, predictions, or professional assessments. Prefer it over generic data quality tools when your records conform to the supplier qualification schema (row_id, company_group, date, checked_criteria, met_criteria) and you need all three reports bundled at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:29.553Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-data-quality-suite-record-audit-string-868f8799"}