{"uid":"cap_C6oqKgehi6bdCqUjd_ZB8","slug":"supplier-qualification-record-quality-audit-string-normalisation-d4b24329","name":"Supplier Qualification — Record Quality Audit + String Normalisation + Numeric Row Ordering","description":"Supplier qualification — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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-02-196?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_gVkHzsPArLp50MUUc0FLq","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":"Audits record quality, normalises string fields, and orders rows numerically for supplier qualification data (checked_criteria, met_criteria) across up to 200 rows in three bundled reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric row ordering on my supplier qualification data? I have rows with fields like row_id, company_group, date, checked_criteria, and met_criteria — up to 50 rows — and I want all three reports using checked_criteria as the numeric field.","exampleUseCases":[{"title":"Pre-load supplier data quality check","prompt":"Before I import this supplier qualification dataset into our procurement system, can you audit the record quality, normalise the company_group strings, and sort the rows by checked_criteria? I have about 80 rows with row_id, company_group, date, checked_criteria, and met_criteria."},{"title":"Ranking suppliers by criteria met","prompt":"I've got a list of 120 supplier qualification records and I need to order them numerically by met_criteria, clean up the company group names, and flag any records with quality issues — can you run all three reports on this data?"},{"title":"Monthly supplier compliance review","prompt":"It's time for our monthly supplier compliance review — can you take these 40 supplier qualification records and give me a quality audit, string normalisation on the company groups, and a numeric ordering by checked_criteria so we can see who's performing best?"}],"resultDescription":"Three bundled analytical reports: (1) a record quality audit flagging missing, null, or malformed values in the supplier qualification rows; (2) a string normalisation report cleaning and standardising the company_group field; and (3) a numeric row ordering report ranking rows by the selected field (checked_criteria or met_criteria). All derived from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, company_group, checked_criteria, met_criteria) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside the allowed range trigger validation failure","Invalid field enum value (not checked_criteria or met_criteria) causes error","Empty rows array (minItems:1 violated) rejected"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous offline analytical passes — quality audit, string normalisation, and numeric ordering — on supplier qualification records in a single low-cost call. It is ideal for preprocessing supplier data before loading into a database or reporting pipeline. Prefer it over generic data tools when your data specifically contains checked_criteria and met_criteria fields with company_group identifiers and you want bundled reports without any external API calls or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:16.911Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-record-quality-audit-string-normalisation-d4b24329"}