{"uid":"cap_ap4BONG1igxtQe2Pb08fy","slug":"supplier-fill-string-normalisation-numeric-row-ordering-40814d44","name":"Supplier Fill — String Normalisation + Numeric Row Ordering","description":"Supplier fill — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-06-025?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"}}},"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_LQ0mVsTUmq0_H7m4CdKmS","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 string fields and applies numeric row ordering to supplier fill records (ordered_units, received_units) across up to 200 rows, returning 2 analytical reports per call.","exampleAgentPrompt":"I have 150 rows of supplier fill data with store group names and ordered/received unit counts — can you normalise the strings, sort the rows numerically by ordered_units, and give me 2 analytical reports on it?","exampleUseCases":[{"title":"Retail supplier fill audit","prompt":"I've got 80 rows of supplier fill records from our retail stores with ordered_units and received_units — can you normalise the store group names and order the rows numerically by received_units so I can see which stores had the biggest gaps?"},{"title":"Weekly supply chain data clean-up","prompt":"Here are 200 rows of our weekly supplier fill data for store groups A through D. Please normalise the string fields and sort everything numerically by ordered_units so it's ready for our operations review."},{"title":"Cross-store fill rate comparison","prompt":"I need to compare fill rates across store groups — here are 50 supplier fill rows with dates, ordered and received units. Can you normalise the store group labels and rank the rows by received_units so I can spot the lowest performers?"}],"resultDescription":"Two analytical reports covering string-normalised supplier fill records and numerically ordered rows for the chosen field (ordered_units or received_units), processed locally with no external lookups, covering up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, ordered_units, received_units) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","ordered_units or received_units outside allowed numeric range — rejection","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you have raw supplier fill records (ordered vs received units) that need both string normalisation and numeric row ordering in a single pass, and you want two bundled analytical reports for up to 200 rows at low cost ($0.01 USDC). It is not suitable for live inventory lookups, predictive modelling, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:24.167Z","isFirstParty":false,"canonicalSlug":"supplier-fill-string-normalisation-numeric-row-ordering-40814d44"}