{"uid":"cap_RgaN4QYkE34X9c86Zj4Cy","slug":"schema-conformity-analytics-daily-sum-series-trailing-mean-series-c3b03876","name":"Schema Conformity Analytics — Daily Sum Series + Trailing Mean Series","description":"Schema conformity — Daily sum series + Trailing mean series: Daily sum series + Trailing mean 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-02-136?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_EerUswIVOwSKhaxeUMEyb","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":"Computes both a daily sum series and a trailing moving-average series for schema conformity metrics (valid_records and checked_records) from up to 200 supplied rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run both a daily sum series and a trailing mean series (window size 7) on my schema conformity data for the valid_records field? I have about 150 rows with date, row_id, dataset_group, valid_records, and checked_records.","exampleUseCases":[{"title":"Daily data quality trend report","prompt":"I have 90 rows of schema conformity data with dates, dataset groups, valid_records and checked_records — can you compute both the daily sum totals and a 7-day trailing moving average for valid_records so I can see the quality trend over time?"},{"title":"Rolling average for checked records monitoring","prompt":"Run a daily sum series and a trailing mean series with a window of 14 on my checked_records field — I'm supplying 200 rows of conformity records with row IDs, dates, and dataset groups."},{"title":"Two-report conformity analytics for pipeline audit","prompt":"I need two analytics reports on my dataset conformity logs: daily sums and a 5-day rolling mean for the checked_records metric. There are about 60 rows covering the last two months — can you crunch both at once?"}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum series aggregating the chosen field (valid_records or checked_records) by date across all supplied rows, and (2) a trailing moving-average series computed over the specified window size. Both reports are derived entirely from the supplied input data with no external lookups or predictions.","failureModes":["Fewer than 1 row or more than 200 rows supplied — request rejected","Missing required fields (row_id, date, valid_records, checked_records) — validation error","Date strings not matching YYYY-MM-DD pattern — schema validation failure","Window size outside allowed range (2–200) — parameter rejection","Field value not one of the allowed enum values (valid_records, checked_records) — error","Null values in numeric fields may affect aggregation results"],"whenToPreferThis":"Choose this endpoint when you need both a daily aggregation and a smoothed rolling-average view of schema conformity data (valid_records or checked_records) in a single low-cost call. It is ideal when you have pre-collected conformity records (up to 200 rows) and want two complementary time-series perspectives without any external data fetches, predictions, or professional assessments. Prefer it over single-series endpoints when you want to save a round-trip by getting both the raw daily totals and the trend-smoothed series together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:44.892Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-daily-sum-series-trailing-mean-series-c3b03876"}