{"uid":"cap_wFstpkICZ4V24QKQVMK53","slug":"feature-availability-analytics-numeric-row-ordering-secondary-measure-b10e4fc7","name":"Feature Availability Analytics — Numeric Row Ordering + Secondary-Measure Weighted Mean","description":"Feature availability — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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-10-121?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"}}},"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_stGh5c2C0fg9ZfUx8jM6N","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 numeric row ordering and secondary-measure weighted mean across up to 200 feature availability records (populated_features, expected_features) in a single paid call.","exampleAgentPrompt":"I have feature availability data for my datasets — can you rank these rows numerically and compute the weighted mean of populated_features for up to 4 rows: row-1 on 2026-10-01 in group-a with populated=10 expected=1, row-2 on 2026-10-02 in group-b with populated=20 expected=2, row-3 on 2026-10-03 in group-a with populated=15 expected=3, row-4 on 2026-10-04 in group-b with populated=30 expected=4?","exampleUseCases":[{"title":"Data completeness ranking for ML pipeline","prompt":"I need to rank my ML pipeline's feature availability records by populated_features and get the weighted mean — here are 5 rows across two dataset groups from last week, each with how many features were populated versus expected."},{"title":"Dataset group completeness audit","prompt":"Can you numerically order these 10 feature availability records from our data warehouse audit (groups alpha and beta, dates from 2026-09-01 to 2026-09-10) by expected_features and give me the weighted mean of that field?"},{"title":"Daily feature monitoring report","prompt":"Every day I collect populated_features and expected_features for my datasets — rank today's 8 rows numerically and compute the weighted mean of populated_features so I can see which groups are underperforming."}],"resultDescription":"Returns two analytical reports for the supplied rows: (1) a numeric row ordering (ranking of rows by the chosen field) and (2) a secondary-measure weighted mean computed across those rows. Both reports are generated locally from the supplied data with no external lookups or live data access.","failureModes":["Input array is empty or exceeds 200 rows — validation error returned","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, populated_features, expected_features) — 400 error","populated_features or expected_features values outside allowed numeric range — validation error","Invalid field enum value (must be 'populated_features' or 'expected_features') — rejection","Payment not included or insufficient USDC amount — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need both numeric row ranking and a weighted mean computed together for feature availability data in a single low-cost call ($0.01 USDC for 2 reports). Ideal for data quality monitoring, ML pipeline completeness audits, and dataset group comparisons where you already have the populated_features and expected_features values and need local, deterministic statistical summaries without any external data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:17.904Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-numeric-row-ordering-secondary-measure-b10e4fc7"}