{"uid":"cap_qJA9w784EnU5ytDp8Qn7F","slug":"feature-availability-analytics-grouped-numeric-summary-numeric-row-6603874f","name":"Feature Availability Analytics — Grouped Numeric Summary + Numeric Row Ordering","description":"Feature availability — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + Numeric row ordering 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-10-087?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_jQXJvndWula26Lmpc4jED","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 two local analytical reports on supplied feature availability records: a grouped numeric summary and a numeric row ordering, across up to 200 rows of populated/expected feature data.","exampleAgentPrompt":"I have feature availability records for two groups — group-a and group-b — across several dates with populated_features and expected_features values. Can you run both a grouped numeric summary and a numeric row ordering on these rows using the populated_features field?","exampleUseCases":[{"title":"Dataset feature completeness audit","prompt":"I've got 150 rows of feature availability data across 5 dataset groups with dates and populated/expected feature counts. Can you group them and give me a numeric summary plus a ranked ordering by populated_features so I can see which groups have the most complete data?"},{"title":"ML pipeline feature coverage report","prompt":"Here are my feature availability records from last quarter across three dataset groups. Run a grouped summary and numeric row ordering on the expected_features field so I can identify which rows and groups have the highest expected feature counts."},{"title":"Data quality monitoring by group","prompt":"I need to analyze these 80 feature availability rows — each has a dataset_group, date, populated_features, and expected_features. Give me both a grouped numeric summary and a row ranking based on populated_features so I can spot which groups are underperforming."}],"resultDescription":"Returns two analytical reports computed locally from the supplied data: (1) a grouped numeric summary aggregating populated_features or expected_features by dataset_group, and (2) a numeric row ordering ranking all rows by the selected numeric field. No external data is fetched or predicted.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, dataset_group, date, populated_features, expected_features) — schema validation error","Invalid field enum value (not 'populated_features' or 'expected_features') — rejected","Null numeric values may affect aggregation results depending on implementation"],"whenToPreferThis":"Choose this endpoint when you have up to 200 feature availability records with populated and expected feature counts and need both a grouped aggregate summary and a numerically ordered ranking in a single call for $0.01 USDC. Ideal for data quality audits, ML feature coverage reviews, and dataset completeness monitoring where no external lookups or predictions are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:45.561Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-grouped-numeric-summary-numeric-row-6603874f"}