{"uid":"cap_BzVSEcThSABXhOFh_Rerv","slug":"aggregation-checks-analytics-record-quality-audit-string-d1a7c182","name":"Aggregation Checks Analytics — Record Quality Audit + String Normalisation + Daily Sum Series","description":"Aggregation checks — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied aggregation checks records (source_sum, aggregate_sum). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-17-198?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_sum","aggregate_sum"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_sum":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"aggregate_sum":{"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_sum":10,"aggregate_sum":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_sum":20,"aggregate_sum":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_sum":15,"aggregate_sum":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_sum":30,"aggregate_sum":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["source_sum","aggregate_sum"],"type":"string","default":"source_sum"}}},"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_zxOws2VRKHrw_dAQWsKD7","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 three local analytical reports on supplied aggregation check records: a record quality audit, string normalisation, and a daily sum series — all for up to 200 rows of source_sum and aggregate_sum data.","exampleAgentPrompt":"Can you run the three aggregation-check reports — record quality audit, string normalisation, and daily sum series — on these rows I'm supplying? Each row has a row_id, dataset_group, date, source_sum, and aggregate_sum, and I want to analyse the source_sum field across up to 200 rows.","exampleUseCases":[{"title":"Daily reconciliation audit for finance team","prompt":"I have a batch of up to 150 reconciliation rows with date, dataset_group, source_sum, and aggregate_sum fields — can you run the record quality audit and daily sum series reports on them so I can spot where my source totals diverge from the aggregated figures?"},{"title":"String normalisation on dataset group labels","prompt":"Some of my dataset_group values look inconsistent across rows — can you run the string normalisation report on my aggregation check records so I can see which labels need cleaning? I'll supply the rows with their row_id, date, source_sum, and aggregate_sum."},{"title":"Time-series sum validation for operations pipeline","prompt":"I need to validate daily sum trends across two groups of pipeline data — can you analyse my aggregation check records and produce the daily sum series report for the aggregate_sum field, covering around 80 rows across several dates in 2026?"}],"resultDescription":"Three independent analytical reports returned for the supplied rows: (1) a record quality audit flagging data issues, (2) a string normalisation report standardising text fields such as dataset_group, and (3) a daily sum series summarising totals over time for the chosen field (source_sum or aggregate_sum). All processing is local; no external lookups or predictions are made.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Missing required fields (row_id, dataset_group, date, source_sum, aggregate_sum) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","source_sum or aggregate_sum outside ±1,000,000,000,000 range — rejected","Invalid field enum value (must be source_sum or aggregate_sum) — error returned","Payment of 0.01 USDC not received — request blocked"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and daily sum series — on up to 200 rows of aggregation check data in a single low-cost call ($0.01 USDC). It is ideal for offline/local analysis of pre-supplied data where no live lookup, external enrichment, or prediction is required. Prefer alternatives if you need real-time data fetching, ML-based predictions, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:17.134Z","isFirstParty":false,"canonicalSlug":"aggregation-checks-analytics-record-quality-audit-string-d1a7c182"}