{"uid":"cap_98UDzdfa3SxrKIb16uHgj","slug":"data-reconciliation-string-normalisation-keyed-dataset-comparison-79431f7f","name":"Data Reconciliation — String Normalisation + Keyed Dataset Comparison","description":"Data reconciliation — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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-11-036?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":20,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":15,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":30,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":17,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":33,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":0}}},"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_u3Rkx87ADo0hZnC_rsSjO","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":"Compares two keyed datasets (source vs target totals) across up to 200 rows using string normalisation and side-by-side analytical reconciliation, returning two independent reports.","exampleAgentPrompt":"Reconcile these two datasets for me — I have a 'rows' set and an 'other' set, each with up to 50 rows keyed by row_id, dataset_group, and date, with source_total and target_total values. Can you run string normalisation and a keyed comparison across both datasets and give me two independent reports showing where they diverge?","exampleUseCases":[{"title":"ETL pipeline output validation","prompt":"I just ran our ETL pipeline and I want to check whether the output matches the source system. Here are the source and target totals for 80 rows keyed by row_id, date, and dataset_group — can you run a reconciliation and give me two comparison reports showing any mismatches?"},{"title":"Month-end financial close reconciliation","prompt":"For month-end close I need to reconcile our general ledger totals against the subsidiary ledger. I have two datasets, each with around 120 rows with row_id, date, dataset_group, source_total, and target_total. Please normalise the strings and run a keyed comparison so I can see which rows have discrepancies."},{"title":"Data migration variance audit","prompt":"We migrated data last night and I need to verify the numbers didn't shift. Can you compare these two exports — 'rows' is the pre-migration snapshot and 'other' is post-migration, both keyed by row_id and dataset_group with source_total and target_total — and produce two independent reconciliation reports?"}],"resultDescription":"Two independent reconciliation reports covering: string-normalised row keys, keyed dataset comparison between the 'rows' and 'other' inputs, row-level source_total vs target_total diffs, group-level and date-level summaries of discrepancies, and any rows that are present in one dataset but missing from the other. No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Input arrays exceed 200 rows — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation error","Date values not matching YYYY-MM-DD pattern will fail schema validation","Numeric totals outside ±1,000,000,000,000 range will be rejected","Empty rows array (minItems:1 not satisfied) returns error","Malformed JSON body returns 400-class error"],"whenToPreferThis":"Choose this endpoint when you need a local, offline-style reconciliation of two keyed datasets (up to 200 rows each) with string normalisation applied to grouping keys, and you want two independent analytical reports in a single call for $0.01 USDC. It is ideal for ETL validation, financial close reconciliation, and data migration audits where no external data lookup, prediction, or live system access is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:55.598Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-string-normalisation-keyed-dataset-comparison-79431f7f"}