{"uid":"cap_MUgR7HCHxn2cbnP-vorpQ","slug":"feature-availability-analytics-numeric-distribution-keyed-dataset-81eb6853","name":"Feature Availability Analytics — Numeric Distribution + Keyed Dataset Comparison","description":"Feature availability — Numeric distribution + Keyed dataset comparison: Numeric distribution + Keyed dataset comparison 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-10-084?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"expected_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_features":1,"populated_features":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_features":2,"populated_features":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_features":3,"populated_features":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_features":4,"populated_features":30}],"maxItems":200,"minItems":1},"field":{"enum":["populated_features","expected_features"],"type":"string","default":"populated_features"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","populated_features","expected_features"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_features":3,"populated_features":17},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_features":4,"populated_features":33}],"maxItems":200,"minItems":0}}},"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_MXcVHrB3C3R0tZbctZpsa","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 a numeric distribution report and a keyed dataset comparison for up to 200 feature availability records (populated_features vs expected_features) using local analytical engines.","exampleAgentPrompt":"Can you run a numeric distribution and keyed dataset comparison on my feature availability data? I have two groups — 'group-a' and 'group-b' — with populated_features and expected_features values across October 2026, up to 200 rows, and I want to analyze the 'populated_features' field.","exampleUseCases":[{"title":"ML pipeline feature completeness audit","prompt":"I need to check how complete my feature data is for my ML pipeline — can you run a numeric distribution on the populated_features field and compare it against the expected_features across my two dataset groups 'train' and 'test' for the past month? I have about 150 rows."},{"title":"Data quality reporting by group","prompt":"Can you analyze my feature availability records and give me a distribution report plus a comparison between 'region-east' and 'region-west' dataset groups? I want to see how populated_features stacks up against expected_features across 80 rows dated from 2026-09-01 to 2026-09-30."},{"title":"Feature population gap detection","prompt":"I want to find gaps in my feature population — run a numeric distribution and keyed comparison on my 120-row dataset with groups 'batch-1' and 'batch-2', looking at the expected_features field, so I can see where feature availability is falling short."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report summarizing statistical properties of the selected field (populated_features or expected_features) across the supplied rows, and (2) a keyed dataset comparison report contrasting the two metrics by dataset_group and date key. Both reports are computed locally without external lookups. Up to 200 rows processed per call.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, populated_features, expected_features) cause schema validation failure","Invalid date format (not YYYY-MM-DD) rejected by pattern validation","Null values in both numeric fields may reduce statistical meaningfulness","Fewer than 1 row in the array causes a minItems validation error","Invalid field enum value (not 'populated_features' or 'expected_features') causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both a numeric distribution analysis and a keyed group comparison for feature availability data in a single low-cost call ($0.01 USDC). It is ideal when you have structured records with populated_features and expected_features counts grouped by dataset_group and date, and you want local analytical computation without external API calls, predictions, or professional assessments. Prefer it over single-report endpoints when both distribution and comparison insights are needed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:31.529Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-numeric-distribution-keyed-dataset-81eb6853"}