{"uid":"cap_ysUtesvIAGheJtOQdy1ou","slug":"supplier-qualification-string-normalisation-exact-row-deduplication-e0519ed4","name":"Supplier Qualification — String Normalisation + Exact Row Deduplication","description":"Supplier qualification — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-02-020?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_0tksuLUF8O44_5ildASWc","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 deduplicates exact rows in supplier qualification records (checked_criteria, met_criteria) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you normalise the strings and remove any exact duplicate rows from my supplier qualification records? I have up to 50 rows with fields like row_id, company_group, date, checked_criteria, and met_criteria — I need both a normalisation report and a deduplication report back.","exampleUseCases":[{"title":"Pre-analysis supplier data cleaning","prompt":"I have a batch of supplier qualification records with company groups, dates, checked criteria counts, and met criteria counts. Some rows look like duplicates and the strings are inconsistently formatted — can you normalise the strings and deduplicate exact rows so I have clean data before I run my analysis? Here are up to 100 rows."},{"title":"Procurement audit deduplication","prompt":"We're auditing our supplier qualification data and suspect there are exact duplicate rows across different company groups. Can you run a deduplication pass and string normalisation on these 80 supplier qualification records and give me a report showing what was cleaned?"},{"title":"Supplier onboarding data quality check","prompt":"Before we onboard these new suppliers, I need to clean up the qualification data — about 150 rows with checked_criteria and met_criteria values. Can you normalise the string fields and flag any exact duplicate rows across the dataset?"}],"resultDescription":"Two independent analytical reports: one covering string normalisation results for the supplier qualification records, and one covering exact row deduplication findings — both generated locally without any live lookup or external data enrichment. Covers up to 200 input rows.","failureModes":["More than 200 rows submitted — endpoint only accepts up to 200 rows per call","Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) in one or more rows","Invalid date format (must be YYYY-MM-DD pattern)","row_id field empty or exceeds 80 characters","checked_criteria or met_criteria values outside allowed numeric range","Malformed JSON body or incorrect field types causing validation failure"],"whenToPreferThis":"Choose this endpoint when you need fast, local string normalisation and exact row deduplication specifically for supplier qualification records with checked_criteria and met_criteria fields, without requiring live lookups, external enrichment, or professional assessment. Ideal for small-to-medium batches (up to 200 rows) where you want two concise analytical reports at very low cost ($0.01 USDC). Prefer alternatives if you need fuzzy matching, semantic deduplication, or deduplication across more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:43:09.581Z","isFirstParty":false,"canonicalSlug":"supplier-qualification-string-normalisation-exact-row-deduplication-e0519ed4"}