{"uid":"cap_ZvjW-bcBCIFLkPYooPoFS","slug":"feature-availability-category-frequencies-base-100-series-e88141fe","name":"Feature Availability — Category Frequencies + Base-100 Series","description":"Feature availability — Category frequencies + Base-100 series: Category frequencies + Base-100 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-10-105?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_8NUZadrsBSPs4D_1fY5jx","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 category frequency distributions and a base-100 indexed series for feature availability records (populated_features vs expected_features) across up to 200 rows.","exampleAgentPrompt":"I have up to 200 rows of feature availability data with populated_features and expected_features counts per dataset group and date — can you run category frequency analysis plus a base-100 series on the populated_features field, using row index 0 as the base?","exampleUseCases":[{"title":"Feature completeness audit by dataset group","prompt":"I have 150 rows of feature availability records across two dataset groups — run category frequency analysis and a base-100 series on the populated_features field so I can see how completeness is distributed and how it trends from the first row."},{"title":"Benchmarking expected vs populated feature counts","prompt":"Can you analyze these feature availability records using expected_features as the target field, with base index 0, and give me both the category frequency breakdown and base-100 indexed series so I can benchmark completeness over time?"},{"title":"Tracking feature population trends across dates","prompt":"I want to see how feature population rates change over a date range — I have 80 rows grouped by dataset_group with populated_features and expected_features values. Run the category frequencies and base-100 trend series using populated_features starting from index 0."}],"resultDescription":"Returns two analytical reports for the supplied feature availability rows: (1) category frequency counts grouped by dataset_group or value categories, and (2) a base-100 indexed series for the selected field (populated_features or expected_features) anchored at the specified base_index row — all computed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, populated_features, expected_features) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","base_index out of range (must be 0–199 and within row count) causes computation error","Null values in the selected numeric field may produce incomplete series"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of feature availability data and need both a categorical frequency distribution and a base-100 trend series in a single low-cost call ($0.01 USDC). Ideal for lightweight, self-contained analytics on data quality or feature completeness datasets without requiring an external analytics platform or live data connection.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:34.860Z","isFirstParty":false,"canonicalSlug":"feature-availability-category-frequencies-base-100-series-e88141fe"}