{"uid":"cap_sKC8S9L7j2Imda5mch7Ps","slug":"feature-availability-category-frequencies-equal-width-histogram-96b449ba","name":"Feature Availability — Category Frequencies + Equal-Width Histogram","description":"Feature availability — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram 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-10-106?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_DVZ_oWT2knnBMpVQ1xhGq","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 counts and an equal-width histogram for populated_features or expected_features columns across up to 200 feature availability records.","exampleAgentPrompt":"Can you run a category frequency analysis and a 10-bin equal-width histogram on the populated_features column for these feature availability records I have — up to 200 rows with row IDs, dataset groups, and dates?","exampleUseCases":[{"title":"Feature completeness audit by group","prompt":"I have 150 rows of feature availability data with row IDs, dataset groups, and dates — can you give me a category frequency breakdown and a 5-bin histogram for the populated_features column so I can see how feature completeness is distributed across groups?"},{"title":"Expected features distribution check","prompt":"Run a frequency analysis and a 10-bin equal-width histogram on the expected_features field for my dataset — I've got about 80 rows with row IDs like 'row-001', dataset groups 'train' and 'test', and dates from 2024-01-01 to 2024-03-31."},{"title":"Data pipeline feature coverage summary","prompt":"I need two analytics reports on my feature availability records — category frequencies and a 15-bin histogram — targeting the populated_features field for 200 rows covering multiple dataset groups from Q4 2025."}],"resultDescription":"Two analytical reports: (1) a category frequency table showing how often each distinct value appears in the chosen field, and (2) an equal-width histogram dividing the field's numeric range into the specified number of bins with counts per bin — both computed locally from the supplied rows, with no external data access.","failureModes":["Input exceeds 200 rows — request rejected","bins value outside 1–30 range — validation error","Missing required row fields (row_id, date, populated_features, expected_features) — schema validation failure","Date field not matching YYYY-MM-DD pattern — validation error","All values null in chosen field — histogram may be empty or return error","Numeric values outside ±1,000,000,000,000 range — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have feature availability records with populated_features and/or expected_features columns and need both a category frequency table and an equal-width histogram in a single low-cost call ($0.01 USDC). Ideal for data quality audits, feature engineering pipelines, or dataset profiling where you want quick distribution summaries without sending data to an external ML or statistics platform. Best for datasets up to 200 rows; for larger datasets, pre-aggregate or sample first.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:34.861Z","isFirstParty":false,"canonicalSlug":"feature-availability-category-frequencies-equal-width-histogram-96b449ba"}