{"uid":"cap_tgh9kTKxP6lAAl_yxxYV6","slug":"record-routing-string-normalisation-and-duplicate-key-report-73469099","name":"Record Routing String Normalisation and Duplicate Key Report","description":"Record routing — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied record routing records (accepted_records, rejected_records). 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-analytics-19-021?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":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_0ckY00m-Yzgtsbqnx892O","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 up to 200 record routing rows (accepted_records, rejected_records), returning two analytical reports per call.","exampleAgentPrompt":"Can you run a string normalisation and duplicate key check on these record routing rows — I've got four entries with row IDs row-1 through row-4, dataset groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, accepted_records of 10, 20, 15, 30 and rejected_records of 1, 2, 3, 4? I want both the normalisation report and the duplicate key report.","exampleUseCases":[{"title":"Audit routing data for duplicate keys","prompt":"I have a batch of 50 record routing entries with row IDs, dataset groups, dates, and accepted/rejected record counts — can you check them all for duplicate keys and also normalise any inconsistent strings? I want both reports back."},{"title":"Clean string fields before pipeline ingestion","prompt":"Before I push these 120 record routing rows into our data pipeline, can you normalise all the string fields and flag any duplicate row IDs or dataset group keys so I can fix them first?"},{"title":"QA check on rejected records batch","prompt":"We just exported 80 rows of routing data with accepted and rejected record counts per dataset group — run the string normalisation and duplicate key detection on them so I can see if anything looks off before the nightly load."}],"resultDescription":"Returns two independent analytical reports: (1) a string normalisation report detailing standardised/normalised string values across the submitted rows, and (2) a duplicate key report flagging any duplicate row_ids or dataset_group keys found within the supplied accepted_records and rejected_records data. Up to 200 rows are covered in a single call.","failureModes":["More than 200 rows submitted — request rejected, max is 200","Missing required fields (row_id, date, accepted_records, rejected_records) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","row_id empty or exceeds 80 characters — validation error","No rows provided (empty array) — minimum 1 row required"],"whenToPreferThis":"Choose this endpoint when you need offline, local analytical processing of record routing data specifically — string normalisation combined with duplicate key detection — without needing any live lookup, external enrichment, prediction, or professional assessment. It is cost-effective at $0.01 for two reports covering up to 200 rows, making it suitable for lightweight data QA steps in automated pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:28.643Z","isFirstParty":false,"canonicalSlug":"record-routing-string-normalisation-and-duplicate-key-report-73469099"}