{"uid":"cap_NCE16lHbwUUACoQn9EBpA","slug":"feature-availability-analytics-duplicate-key-report-daily-sum-series-5385ea23","name":"Feature Availability Analytics — Duplicate Key Report + Daily Sum Series","description":"Feature availability — Duplicate key report + Daily sum series: Duplicate key report + 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-10-060?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_uAnrrZuJhy5uSZVqDUoE7","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":"Generates two offline analytical reports — a duplicate key report and a daily sum series — for supplied feature availability records (populated_features, expected_features) across up to 200 rows.","exampleAgentPrompt":"Can you run a duplicate key report and daily sum series on my feature availability data? I have rows for group-a and group-b from 2026-10-01 to 2026-10-04, each with populated_features and expected_features values — check the populated_features field across up to 4 rows.","exampleUseCases":[{"title":"Audit feature pipeline for duplicate row IDs","prompt":"I've got a feature availability export with row IDs and daily records across two dataset groups — can you check it for duplicate keys and also give me the daily sum rollup for populated_features? Here are up to 50 rows with dates, row_ids, dataset_groups, and populated_features counts."},{"title":"Daily totals for expected feature coverage","prompt":"I need a daily sum series for expected_features across my dataset — I have about 120 rows tagged by date and dataset_group. Can you aggregate them day by day and also flag any duplicate row IDs while you're at it?"},{"title":"Data quality check before ML pipeline ingestion","prompt":"Before I feed this feature availability table into my ML pipeline, can you run a duplicate key check and produce a daily sum for populated_features? I have 80 rows with row_id, date, dataset_group, expected_features, and populated_features."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying rows with repeated row_id values, and (2) a daily sum series aggregating the selected field (populated_features or expected_features) by date — both derived locally from the supplied rows without any external lookups.","failureModes":["Input exceeds 200 rows — request rejected with validation error","Missing required fields (row_id, date, populated_features, expected_features) cause row-level validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null values in numeric fields may affect sum accuracy","Empty rows array returns an error due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need two quick offline analytical reports — duplicate key detection and daily aggregation — on a feature availability dataset of up to 200 rows in a single low-cost call ($0.01 USDC). It is ideal for data quality checks before pipeline ingestion and for summarizing daily feature coverage without requiring an external database or live data source.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:45.335Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-duplicate-key-report-daily-sum-series-5385ea23"}