{"uid":"cap_ftw98gh1UsOdEQ1DoXNmh","slug":"feature-availability-analytics-category-frequencies-date-by-category-11142a40","name":"Feature Availability Analytics: Category Frequencies + Date-by-Category Pivot","description":"Feature availability — Category frequencies + Date by category pivot: Category frequencies + 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-10-110?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_PyeFS05bdEMAlYs4xJVD5","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 two local analytical reports — category frequency distribution and date-by-category pivot table — for supplied feature availability records (populated_features, expected_features).","exampleAgentPrompt":"I have up to 200 feature availability records with fields like row_id, dataset_group, date, populated_features, and expected_features — can you run two reports on them: a category frequency breakdown and a date-by-category pivot table for the populated_features field?","exampleUseCases":[{"title":"Feature completeness audit by team","prompt":"I have 150 rows of feature availability data across groups like 'team-alpha' and 'team-beta' with dates and populated_features counts — can you give me a category frequency breakdown and a date-by-category pivot so I can see which teams are consistently populating features?"},{"title":"Expected vs populated features gap analysis","prompt":"Here are 80 feature availability records with dataset_group, date, expected_features, and populated_features — run the category frequencies and date-by-category pivot on the expected_features field so I can spot where expectations aren't being met."},{"title":"Daily feature rollout tracking by group","prompt":"I'm tracking a feature rollout across four dataset groups over the past month — I have 120 rows with dates and populated_features counts. Can you produce a category frequency report and a pivot table by date and group so I can see the rollout pattern?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each dataset_group appears in the supplied records, and (2) a date-by-category pivot table showing the selected field (populated_features or expected_features) values broken down by date and dataset_group. Both reports are computed locally with no external lookups, covering up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, populated_features, expected_features) on any row causes validation error","Date values not matching YYYY-MM-DD pattern will fail schema validation","Null values in numeric fields are accepted but may affect pivot aggregation results","Invalid field enum value (not 'populated_features' or 'expected_features') causes rejection","Empty rows array (minItems: 1 violated) returns error"],"whenToPreferThis":"Choose this endpoint when you have raw feature availability records (up to 200 rows) and need two quick local analytical outputs — category frequency counts and a date-by-category pivot — without requiring external data lookups or prediction. Ideal for lightweight data quality checks, feature completeness audits, or rollout tracking across dataset groups at a low flat cost of $0.01 USDC for both reports together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:40.255Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-category-frequencies-date-by-category-11142a40"}