{"uid":"cap_YV3miSOqZEubsFxkaqy_z","slug":"feature-availability-record-quality-audit-trailing-mean-series-a6f718bc","name":"Feature Availability — Record Quality Audit + Trailing Mean Series","description":"Feature availability — Record quality audit + Trailing mean series: Record quality audit + Trailing mean series for supplied feature availability records (populated_features, expected_features). 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-10-010?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","populated_features","expected_features"],"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},"expected_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_features":1,"populated_features":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_features":2,"populated_features":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_features":3,"populated_features":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_features":4,"populated_features":30}],"maxItems":200,"minItems":1},"field":{"enum":["populated_features","expected_features"],"type":"string","default":"populated_features"},"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_CcjOrtI3F-l0wz9lpU_CJ","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 two local analytical reports on supplied feature availability data: a record quality audit and a trailing mean series, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and trailing mean series on my feature availability data? I have 4 rows for group-a and group-b from 2026-10-01 to 2026-10-04, with populated_features values of 10, 20, 15, 30 and expected_features of 1, 2, 3, 4 — use a window of 3 and analyze the populated_features field.","exampleUseCases":[{"title":"ML pipeline feature completeness check","prompt":"I need to audit the quality of my feature availability records for last month — I have 50 rows across three dataset groups with populated_features and expected_features counts per day. Can you run a quality audit and also give me a trailing mean series with a window of 7 on the populated_features field?"},{"title":"Rolling average for feature monitoring dashboard","prompt":"Compute a trailing mean series with a window of 5 for the expected_features column across my 30-row feature availability dataset spanning October 2026 — I want to see how the rolling average trends over time across my dataset groups."},{"title":"Spotting data gaps in training dataset","prompt":"I want to check if there are quality issues in my training dataset's feature availability records — I've got 100 rows with row IDs, dates, dataset groups, and both populated and expected feature counts. Run a record quality audit and a trailing mean on populated_features with a window of 10."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit highlighting issues, completeness rates, or anomalies in the supplied feature availability rows, and (2) a trailing mean series showing rolling averages of the selected field (populated_features or expected_features) over the specified window — all computed locally without any live lookup or external data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, populated_features, expected_features) — validation error","Date strings not in YYYY-MM-DD format — pattern validation failure","Window value outside range 2–200 — rejected","Null values in numeric fields may affect mean calculation output","Invalid field enum value — rejected"],"whenToPreferThis":"Choose this endpoint when you need to assess the quality of feature availability records AND compute rolling averages in a single low-cost call. It is ideal for ML/data engineering workflows where you want to validate feature population completeness and monitor trends over time, without requiring a live data connection or external lookup. Best suited for batch sizes of up to 200 rows where two complementary reports (quality audit + trailing mean) are both needed at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:39.962Z","isFirstParty":false,"canonicalSlug":"feature-availability-record-quality-audit-trailing-mean-series-a6f718bc"}