{"uid":"cap_EDJdKr75crh2c33HR0Juf","slug":"supplier-fill-string-normalisation-adjacent-row-changes-75da61c4","name":"Supplier Fill — String Normalisation + Adjacent Row Changes","description":"Supplier fill — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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-06-029?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_pIlCvyuwNbjbZvyEIKIzT","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":"Performs string normalisation and adjacent row change analysis on up to 200 supplier fill records (ordered_units or received_units), returning 2 analytical reports per call.","exampleAgentPrompt":"Can you run string normalisation and adjacent row changes analysis on my supplier fill data for ordered_units? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 ordered and 1 received, row-2 for group-b on 2026-10-02 with 20 ordered and 2 received, row-3 for group-a on 2026-10-03 with 15 ordered and 3 received, and row-4 for group-b on 2026-10-04 with 30 ordered and 4 received.","exampleUseCases":[{"title":"Retail replenishment audit across store groups","prompt":"I need to check my supplier fill records for string inconsistencies and row-to-row changes in ordered_units — here are 10 rows across store groups Alpha and Beta from October 2026, can you run the normalisation and adjacent row change reports on them?"},{"title":"Detecting received unit discrepancies over time","prompt":"Can you analyse these 50 supplier fill rows for received_units and tell me where strings look malformed and where adjacent rows show unusual jumps? The data covers daily deliveries across our warehouse groups from November 2026."},{"title":"Store group fill consistency check","prompt":"I want to validate my supplier fill data before importing it — run string normalisation and adjacent row changes on these 200 rows for the ordered_units field and give me the two reports so I can spot any formatting issues or unexpected sequential shifts."}],"resultDescription":"Two analytical reports per call: (1) a string normalisation report identifying formatting inconsistencies in the selected field across supplied rows, and (2) an adjacent row changes report highlighting sequential differences between consecutive rows — both derived locally from the submitted data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected, reduce batch size","Missing required fields (row_id, date, store_group, ordered_units, received_units) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Invalid field enum value (not ordered_units or received_units) — rejected","Empty rows array — minItems constraint violation","Numeric values outside allowed range (±1,000,000,000,000) — schema error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local analytical processing of supplier fill records specifically combining string normalisation with adjacent row change detection in a single call. It is well-suited for retail inventory pipelines where you want two complementary views of data quality and sequential patterns without external lookups or model inference, at low cost ($0.01 per call covering both reports for up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:47:32.177Z","isFirstParty":false,"canonicalSlug":"supplier-fill-string-normalisation-adjacent-row-changes-75da61c4"}