{"uid":"cap_gn_WDq0mdJxQn9UfFDD_n","slug":"office-supplies-string-normalisation-and-duplicate-key-report-f6811afb","name":"Office Supplies String Normalisation and Duplicate Key Report","description":"Office supplies — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied office supplies records (issued_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-operations-24-021?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","issued_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},"team_group":{"type":"string","default":"","maxLength":80},"issued_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","team_group":"group-a","issued_units":10,"received_units":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","issued_units":20,"received_units":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","issued_units":15,"received_units":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","issued_units":30,"received_units":4}],"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_ZOK4cOfuBX-eCVR6J4TEI","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":"Runs string normalisation and duplicate key detection on office supplies records (issued_units, received_units) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"I have up to 200 rows of office supplies data with row IDs, team groups, dates, and issued/received unit counts — can you run a string normalisation pass and flag any duplicate keys across those records?","exampleUseCases":[{"title":"Clean office supply inventory exports","prompt":"I've got a CSV export of our office supplies log with columns for row_id, team_group, date, issued_units, and received_units — can you normalise the string fields and tell me which row IDs appear more than once?"},{"title":"Audit team group name consistency","prompt":"Our supply tracking sheet has inconsistent team group labels across 150 rows — run a string normalisation and duplicate key report so I can see which entries need to be merged or corrected."},{"title":"Pre-import deduplication check","prompt":"Before I import these 80 office supplies records into our system, can you check for duplicate row keys and normalise the string fields so I know exactly what needs cleaning?"}],"resultDescription":"Returns two independent reports: (1) a string normalisation report showing how string fields (e.g. team_group) were standardised across submitted rows, and (2) a duplicate key report identifying row_ids or key combinations that appear more than once within the submitted dataset. No external lookups or predictions are included.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, issued_units, received_units) cause row-level rejection","Malformed date strings not matching YYYY-MM-DD pattern may be flagged or rejected","Empty row arrays return an error due to minItems:1 constraint","Numeric values outside the allowed range trigger schema validation failures"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 office supplies records and need both string normalisation and duplicate key detection in a single cheap call ($0.01 USDC). It is a pure local analytical service — no external lookups, no predictions — making it fast, deterministic, and privacy-safe for internal data quality workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:39:20.510Z","isFirstParty":false,"canonicalSlug":"office-supplies-string-normalisation-and-duplicate-key-report-f6811afb"}