{"uid":"cap_Y4-I4d90g4432q7ssngKa","slug":"data-reconciliation-string-normalisation-duplicate-key-report-3dce5cce","name":"Data Reconciliation — String Normalisation + Duplicate Key Report","description":"Data reconciliation — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied data reconciliation records (source_total, target_total). 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-11-021?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":20,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":15,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":30,"target_total":4,"dataset_group":"group-b"}],"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_7vLhGc7Ypi2uZQnAoK9lS","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 strings and identifies duplicate keys across up to 200 data reconciliation rows (source_total vs target_total), returning two independent analytical reports.","exampleAgentPrompt":"Can you run a string normalisation and duplicate key report on my reconciliation data? I have 4 rows — group-a on 2026-10-01 with source 10 and target 1, group-b on 2026-10-02 with source 20 and target 2, group-a on 2026-10-03 with source 15 and target 3, and group-b on 2026-10-04 with source 30 and target 4.","exampleUseCases":[{"title":"Financial ledger reconciliation deduplication","prompt":"I have a set of 50 ledger reconciliation rows with source and target totals across several dataset groups — can you run a duplicate key check and string normalisation report to find any duplicated row IDs or inconsistently formatted strings?"},{"title":"ETL pipeline data quality audit","prompt":"After our nightly ETL run I've got 120 rows of source vs target totals across groups like 'payments' and 'refunds' — please run the string normalisation and duplicate key reports so I can catch any data quality issues before we load to the warehouse."},{"title":"Multi-source dataset group comparison","prompt":"We've merged data from two systems into 80 reconciliation records with row IDs, dates, and source/target totals — can you produce a string normalisation report and a duplicate key report so we know which rows have duplicate keys or messy string values?"}],"resultDescription":"Returns two independent reports: (1) a string normalisation report highlighting inconsistently formatted or non-normalised string values across the supplied rows, and (2) a duplicate key report identifying any row_id or dataset_group combinations that appear more than once within the supplied data. Both reports are computed locally from the supplied rows with no external lookups.","failureModes":["Exceeds 200 row limit — request rejected with validation error","Missing required fields (row_id, dataset_group, date, source_total, target_total) — row-level validation failure","Date field not matching YYYY-MM-DD pattern — schema validation error","source_total or target_total outside allowed range (±1,000,000,000,000) — validation rejection","Empty rows array (minItems:1 violation) — request rejected"],"whenToPreferThis":"Choose this endpoint when you need offline, supplied-data-only string normalisation and duplicate key detection for reconciliation records (up to 200 rows) at minimal cost ($0.01 USDC for both reports). It is ideal when you do not need live data lookups, external enrichment, or predictive analytics — just fast, deterministic deduplication and string normalisation from data you already have.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:53.310Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-string-normalisation-duplicate-key-report-3dce5cce"}