{"uid":"cap_RKE7AnpP77scJWB0q_sBO","slug":"supplier-fill-record-quality-audit-numeric-interval-filter-03fddb4f","name":"Supplier Fill — Record Quality Audit + Numeric Interval Filter","description":"Supplier fill — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter for supplied supplier fill records (ordered_units, received_units). 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-retail-06-008?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","ordered_units","received_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"store_group":{"type":"string","default":"","maxLength":80},"ordered_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"received_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","ordered_units":10,"received_units":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","ordered_units":20,"received_units":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","ordered_units":15,"received_units":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","ordered_units":30,"received_units":4}],"maxItems":200,"minItems":1},"field":{"enum":["ordered_units","received_units"],"type":"string","default":"ordered_units"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_wa91BW7ERm-MMdzXfbTJd","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 data quality and applies a numeric interval filter on supplier fill records (ordered_units, received_units) for up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and filter by numeric interval on my supplier fill data — I've got 150 rows with ordered_units and received_units, and I want to flag records where ordered_units falls between 0 and 100?","exampleUseCases":[{"title":"Retail fill rate quality check","prompt":"I have 120 rows of supplier fill records from last quarter with ordered_units and received_units per store group. Can you audit them for data quality issues and show me which records have ordered_units between 5 and 500?"},{"title":"Identifying zero-fill anomalies in received units","prompt":"Run a quality audit on my 80 supplier fill rows and filter for any records where received_units falls between 0 and 10 — I want to catch potential zero-fill anomalies across my store groups."},{"title":"Pre-reporting data validation for supply chain","prompt":"Before I submit my monthly supply chain report, can you check my 200 supplier fill records for data quality problems and also flag which rows have received_units between 50 and 200?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying completeness issues, nulls, and anomalies across the supplied rows; and (2) a numeric interval filter report listing which rows have the selected field (ordered_units or received_units) within the specified minimum/maximum range. Both reports are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (must be YYYY-MM-DD) causes row-level validation failure","Minimum greater than maximum causes empty or erroneous interval filter results","Missing required fields (row_id, date, ordered_units, received_units) cause audit failures","Non-numeric values in numeric fields cause parsing errors"],"whenToPreferThis":"Choose this endpoint when you have up to 200 supplier fill rows and need both a data quality audit and a numeric range filter in a single low-cost call ($0.01 USDC). It is ideal for pre-reporting validation of ordered_units and received_units data, catching nulls or anomalies, and identifying records that fall within or outside expected inventory thresholds — all without any external data lookup or live prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:47:40.892Z","isFirstParty":false,"canonicalSlug":"supplier-fill-record-quality-audit-numeric-interval-filter-03fddb4f"}