{"uid":"cap_nMtlqcmLRqB9P8lymRq3M","slug":"feature-availability-analytics-grouped-numeric-summary-daily-sum-series-186a22c5","name":"Feature Availability Analytics — Grouped Numeric Summary + Daily Sum Series","description":"Feature availability — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum 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-10-089?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_5RTByHRTZgNan4CeZHZse","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 grouped numeric summary and a daily sum time series for feature availability data (populated_features, expected_features) across up to 200 rows, returning two local analytical reports.","exampleAgentPrompt":"I have a dataset with feature availability records — can you run a grouped numeric summary and daily sum series on my rows for the 'populated_features' field? I have 4 rows: row-1 for group-a on 2026-10-01 with populated=10 and expected=1, row-2 for group-b on 2026-10-02 with populated=20 and expected=2, row-3 for group-a on 2026-10-03 with populated=15 and expected=3, and row-4 for group-b on 2026-10-04 with populated=30 and expected=4.","exampleUseCases":[{"title":"Daily feature coverage trend report","prompt":"I have daily records of how many features were populated vs expected across two dataset groups over the past week — can you generate a grouped numeric summary and daily sum time series for 'populated_features' so I can see the coverage trend per day?"},{"title":"Data quality audit by dataset group","prompt":"Run a grouped numeric summary on these 50 feature availability rows split across group-a and group-b, using the 'expected_features' field — I want to understand how each group compares statistically."},{"title":"Pipeline completeness monitoring","prompt":"I'm tracking feature completeness for my ML pipeline — here are 200 rows of populated_features and expected_features per date and dataset group. Can you give me both the grouped summary and the daily sum series for 'populated_features'?"}],"resultDescription":"Two analytical reports: (1) a grouped numeric summary breaking down populated_features or expected_features statistics by dataset_group, and (2) a daily sum time series aggregating the selected field by date — computed locally on the supplied rows with no external calls.","failureModes":["Input array is empty or missing (minItems: 1 not satisfied)","More than 200 rows supplied (maxItems: 200 exceeded)","row_id missing or empty string (minLength: 1 required)","date field does not match YYYY-MM-DD pattern","field value is not one of the two allowed enum values ('populated_features' or 'expected_features')","populated_features or expected_features exceed numeric bounds (±1,000,000,000,000)","Malformed JSON body returns validation error"],"whenToPreferThis":"Choose this endpoint when you have feature availability records (populated and expected feature counts) tagged by date and dataset group, and you need both a grouped statistical summary and a daily aggregated time series in a single cheap call ($0.01 USDC for up to 200 rows). Prefer this over general-purpose analytics tools when the data is already structured with populated_features/expected_features fields and you want two complementary views — cross-group statistics and a time trend — without spinning up a full analytics pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:08:53.430Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-grouped-numeric-summary-daily-sum-series-186a22c5"}