{"uid":"cap_tFchBT2Hfn_obgqKPRKyp","slug":"supplier-qualification-string-normalisation-keyed-dataset-comparison-139c53fe","name":"Supplier Qualification — String Normalisation + Keyed Dataset Comparison","description":"Supplier qualification — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison for supplied supplier qualification records (checked_criteria, met_criteria). 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-company-02-036?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_zGQpoVBMLDwB_-qJ5dmZm","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":"Normalises strings and compares two supplier qualification datasets (checked_criteria vs met_criteria) row-by-row, producing 2 analytical reports for up to 200 rows each.","exampleAgentPrompt":"Compare these two supplier qualification datasets — each has up to 50 rows with fields row_id, company_group, date, checked_criteria, and met_criteria — and give me a normalisation report plus a keyed comparison showing which rows differ between the two.","exampleUseCases":[{"title":"Quarterly supplier audit delta check","prompt":"I have two snapshots of our supplier qualification records from Q3 and Q4, each with up to 80 rows containing company group, date, checked criteria count, and met criteria count. Can you normalise the strings and compare them side-by-side to show me what changed between the two periods?"},{"title":"Dual-vendor compliance comparison","prompt":"We're evaluating two groups of vendors — group-a and group-b — with about 120 rows each, all including row IDs, dates, and how many qualification criteria were checked vs met. Run the string normalisation and keyed comparison on both datasets and tell me which vendors in each group are falling short."},{"title":"Pre-procurement qualification check","prompt":"Before we onboard these new suppliers, I need to compare our internal qualification checklist results against the supplier's self-reported criteria data. I've got two datasets of up to 60 rows each with checked and met criteria fields. Can you normalise and compare them and flag any discrepancies?"}],"resultDescription":"Returns 2 independent analytical reports: (1) a string normalisation report covering the supplied rows, and (2) a keyed dataset comparison report showing row-level differences between the two input datasets on checked_criteria and met_criteria fields, grouped by company_group and date. No live lookups or external data are used — all analysis is local.","failureModes":["Input exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern will fail schema validation","Null values in checked_criteria or met_criteria may produce incomplete comparison results","Mismatched row_ids between the two datasets reduce comparison coverage"],"whenToPreferThis":"Choose this endpoint when you have two structured supplier qualification datasets (up to 200 rows each) and need local, offline string normalisation plus a keyed row-by-row comparison of criteria metrics — without any external lookups, predictions, or professional assessments. It is ideal for procurement audits, vendor compliance reviews, or delta analysis between two qualification snapshots at very low cost ($0.01 per call for 2 reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T06:35:37.012Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-string-normalisation-keyed-dataset-comparison-139c53fe"}