{"uid":"cap_nWybxo0S1FflBlW0dGEhJ","slug":"schema-conformity-analytics-exact-row-deduplication-daily-sum-series-29051d8c","name":"Schema Conformity Analytics: Exact Row Deduplication + Daily Sum Series","description":"Schema conformity — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum series for supplied schema conformity records (valid_records, checked_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-02-044?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_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},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_records","checked_records"],"type":"string","default":"valid_records"}}},"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_0_DCy03j4SkC7wqy8vqy2","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":"Deduplicates exact rows and computes daily sum time series for schema conformity records (valid_records, checked_records) across up to 200 input rows, returning two independent analytical reports.","exampleAgentPrompt":"I have up to 200 rows of schema conformity records with fields like date, dataset_group, valid_records, and checked_records — can you deduplicate exact rows and give me a daily sum series for valid_records?","exampleUseCases":[{"title":"Daily data quality trend analysis","prompt":"I have a week of schema conformity logs across two dataset groups with valid_records and checked_records per day — please deduplicate any exact duplicate rows and then give me a daily sum series for valid_records so I can see the trend."},{"title":"Deduplicating conformity audit exports","prompt":"My data pipeline is producing duplicate entries in the conformity audit — can you take these rows (each with a row_id, date, dataset_group, valid_records, and checked_records) and deduplicate them exactly, then show me the daily sum of checked_records?"},{"title":"Comparing valid vs checked records over time","prompt":"I've got about 150 schema conformity records spanning October, and I want to deduplicate exact rows and get a daily aggregated sum for checked_records grouped by day — can you run both reports at once?"}],"resultDescription":"Returns two independent analytical reports for the supplied schema conformity rows: (1) an exact row deduplication report identifying and removing fully duplicate rows, and (2) a daily sum time series for the selected metric field (valid_records or checked_records), aggregated by date across all dataset groups. Both reports are computed locally without external lookups or predictions.","failureModes":["Missing required fields (row_id, date, valid_records, checked_records) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Exceeding 200 rows returns an error or truncation","Null numeric values are handled but may affect aggregation results","Invalid field selector (not 'valid_records' or 'checked_records') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have schema conformity tracking data (valid_records, checked_records per date and dataset group) and need both exact deduplication and a daily sum time series in a single low-cost call. It is ideal for data quality pipelines that accumulate duplicate log entries and require per-day aggregation without needing external enrichment, predictions, or live data. At $0.01 for two reports on up to 200 rows, it is cost-effective for routine data hygiene and trend reporting tasks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:24.516Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-exact-row-deduplication-daily-sum-series-29051d8c"}