{"uid":"cap_XKTXBgcRNMI2m4fz2UXaz","slug":"feature-availability-analytics-record-quality-audit-exact-row-a7720f66","name":"Feature Availability Analytics — Record Quality Audit, Exact Row Deduplication & Equal-Width Histogram","description":"Feature availability — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram for supplied feature availability records (populated_features, expected_features). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-10-219?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_uBlhrF0PQxGXqzq_nUymP","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 three independent analytical reports (record quality audit, exact row deduplication, and equal-width histogram) on supplied feature availability records containing populated_features and expected_features fields, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, exact deduplication check, and a 10-bin histogram on my feature availability data — I have rows for dataset groups 'group-a' and 'group-b' with populated_features and expected_features values, and I want the histogram over the populated_features field?","exampleUseCases":[{"title":"Feature completeness audit for ML pipeline","prompt":"I have 150 rows of feature availability records from our ML pipeline — each has a row_id, dataset_group, date, populated_features, and expected_features. Can you run a full quality audit, check for exact duplicate rows, and give me a 5-bin histogram on the expected_features field?"},{"title":"Deduplication check on daily feature snapshot","prompt":"We captured a daily feature availability snapshot and I'm worried there are duplicate entries. Run the exact row deduplication report plus a quality audit on these records — there are about 80 rows with populated_features and expected_features columns."},{"title":"Distribution analysis of populated features","prompt":"Can you produce an equal-width histogram with 15 bins for the populated_features values across my feature availability dataset? Also include the record quality audit and dedup report while you're at it — I've got around 200 rows split across several dataset groups."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit highlighting null values, format issues, and completeness metrics; (2) an exact row deduplication report listing identical rows; and (3) an equal-width histogram of the specified numeric field (populated_features or expected_features) partitioned into up to 30 bins. All computed locally without external lookups or predictions.","failureModes":["More than 200 rows submitted — request rejected, reduce row count","Missing required fields (row_id, date, populated_features, expected_features) — validation error returned","Invalid date format (not YYYY-MM-DD) — schema validation failure","bins value outside 1–30 range — rejected with parameter error","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection","Invalid field enum value (not populated_features or expected_features) — error response"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit data quality, remove exact duplicate rows, and understand the numeric distribution of feature availability records in a single paid call. It is ideal for ML feature store monitoring, dataset hygiene checks before model training, or periodic data pipeline validation — especially when you want three complementary analytical views for a flat $0.01 fee without any external API calls or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:00.841Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-record-quality-audit-exact-row-a7720f66"}