{"uid":"cap_hHk0uGgE7AkAdjeGuF2ms","slug":"feature-availability-daily-sum-series-keyed-dataset-comparison-bc50679d","name":"Feature Availability — Daily Sum Series + Keyed Dataset Comparison","description":"Feature availability — Daily sum series + Keyed dataset comparison: Daily sum series + 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-10-144?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_wQM-YqLmxmAWNx_R0CXdT","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":"Analyzes feature availability records by computing a daily sum time series and a keyed dataset comparison across up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"I have two sets of feature availability records with populated_features and expected_features values — can you run both a daily sum series and a keyed dataset comparison on them? Here's my primary dataset with rows like {date: '2026-10-01', row_id: 'row-1', dataset_group: 'group-a', populated_features: 10, expected_features: 1} and a second dataset to compare against, analyzing the 'populated_features' field.","exampleUseCases":[{"title":"Daily feature population trend analysis","prompt":"I have 120 rows of feature availability logs with populated_features and expected_features for each day across two dataset groups — can you compute the daily sum series for populated_features and also compare my primary dataset against a baseline dataset keyed by group?"},{"title":"Expected vs actual feature gap reporting","prompt":"Run a daily sum series plus keyed dataset comparison on my feature availability data — I want to see how expected_features totals by day and compare them across two separate dataset groups to spot mismatches."},{"title":"Multi-group feature coverage audit","prompt":"I've got two batches of feature records, each up to 80 rows, both with date, dataset_group, populated_features, and expected_features fields — generate both the daily sum time series and the keyed comparison report for the expected_features field so I can audit coverage gaps."}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum series aggregating the selected field (populated_features or expected_features) by date across supplied rows, and (2) a keyed dataset comparison report matching rows between the primary and secondary datasets by group/key, highlighting differences. All computation is local and based solely on the supplied data.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — request rejected","Missing required fields (row_id, dataset_group, date, populated_features, expected_features) — schema validation error","Invalid date format (not YYYY-MM-DD) — pattern validation error","Null values in numeric fields may affect aggregation accuracy","Mismatched row_ids between primary and secondary datasets may reduce comparison coverage"],"whenToPreferThis":"Choose this endpoint when you need both a date-based aggregate time series AND a side-by-side keyed comparison of two feature availability datasets in a single low-cost call. Ideal for data quality pipelines monitoring feature population rates, ML feature store audits, or ETL validation where you want daily rollups and cross-dataset diffing without building custom analytics. Best when data is already in-hand (no live lookups) and row count is under 200.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:34.746Z","isFirstParty":false,"canonicalSlug":"feature-availability-daily-sum-series-keyed-dataset-comparison-bc50679d"}