{"uid":"cap_A31EIAPHjcvxxvzAyjn4n","slug":"feature-availability-analytics-numeric-row-ordering-date-by-category-c38ec733","name":"Feature Availability Analytics: Numeric Row Ordering + Date by Category Pivot","description":"Feature availability — Numeric row ordering + Date by category pivot: Numeric row ordering + Date by category pivot 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-10-122?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_bUnBHn9MJPRf44lclY-nr","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 local analytical reports (numeric row ordering and date-by-category pivot) for supplied feature availability records with populated_features and expected_features fields, processing up to 200 rows.","exampleAgentPrompt":"I have feature availability records for two groups — group-a and group-b — with dates ranging from 2026-10-01 to 2026-10-04 and populated_features counts like 10, 20, 15, 30 against expected_features of 1, 2, 3, 4. Can you run the numeric row ordering and date-by-category pivot reports on populated_features for all 4 rows?","exampleUseCases":[{"title":"Dataset completeness audit by group","prompt":"I have 50 feature availability records across three dataset groups with dates and both populated and expected feature counts — can you give me a numeric row ordering plus a date-by-category pivot report on populated_features so I can see which groups are lagging?"},{"title":"Expected vs populated feature tracking over time","prompt":"Run a date-by-category pivot and numeric row ordering on my expected_features data — I've got 120 rows with dataset groups like 'model-v1' and 'model-v2' and dates across Q3 2025, so I want to see trends by group and date."},{"title":"Feature coverage ranking for ML pipeline","prompt":"I need two reports on my ML pipeline feature availability data: rank all 80 rows numerically by populated_features and also pivot them by date and dataset_group category. The rows have fields: row_id, dataset_group, date, populated_features, and expected_features."}],"resultDescription":"Returns two analytical reports derived from the supplied row data: (1) a numeric row ordering ranking rows by the selected field (populated_features or expected_features), and (2) a date-by-category pivot table cross-tabulating values by date and dataset_group. No external data is fetched; all computation is performed locally on the submitted rows.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, populated_features, expected_features) causes schema rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Null values in both numeric fields may produce incomplete pivot cells","Empty rows array (minItems:1 violated) returns an error"],"whenToPreferThis":"Choose this endpoint when you have feature availability tabular data (with populated vs expected feature counts, dates, and group labels) and need both a ranked row ordering and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical summaries of up to 200 records where no live lookup, prediction, or external enrichment is needed. At $0.01 for two reports, it is highly cost-effective for recurring dataset quality checks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:39.178Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-numeric-row-ordering-date-by-category-c38ec733"}