{"uid":"cap_NkLUL8DnvyIrruvDo-lQ9","slug":"feature-availability-analytics-equal-width-histogram-two-measure-1fa08beb","name":"Feature Availability Analytics: Equal-Width Histogram + Two-Measure Correlation","description":"Feature availability — Equal-width histogram + Two-measure correlation: Equal-width histogram + Two-measure correlation 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-10-171?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_fpkzBHz7oGAcFfVY6d-fg","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 an equal-width histogram and a two-measure Pearson/linear correlation for supplied feature availability records (populated_features vs expected_features) in a single paid call.","exampleAgentPrompt":"Can you run a histogram and correlation analysis on my feature availability data — I have up to 150 rows with populated_features and expected_features per row, and I'd like 10 equal-width bins on the populated_features field?","exampleUseCases":[{"title":"ML pipeline feature completeness audit","prompt":"I have 120 rows of dataset feature records with populated_features and expected_features for each row — can you compute an equal-width histogram with 8 bins on populated_features and also show me the correlation between populated and expected features?"},{"title":"Daily dataset group comparison","prompt":"Analyze my feature availability logs: I've got 80 rows tagged by dataset_group and date, and I want a 5-bin histogram on expected_features plus a two-measure correlation report between populated_features and expected_features."},{"title":"Data coverage distribution check","prompt":"I need to understand the distribution of how many features are populated vs expected across my 200 dataset records — can you run an equal-width histogram with 10 bins and tell me how strongly the two measures correlate?"}],"resultDescription":"Returns two independent analytical reports: (1) an equal-width histogram over the chosen field (populated_features or expected_features) showing bin edges and counts across up to 30 bins, and (2) a two-measure correlation report quantifying the linear relationship between populated_features and expected_features across the supplied rows — all computed locally from the submitted data, no external lookups.","failureModes":["Rows array is empty or missing — returns validation error","More than 200 rows submitted — rejected with max-items error","Non-numeric or null values in both populated_features and expected_features causing degenerate correlation","bins parameter outside 1–30 range — schema validation failure","date field not matching YYYY-MM-DD pattern — row rejected","Insufficient variance in the chosen field leading to a trivial or undefined correlation"],"whenToPreferThis":"Choose this endpoint when you need both a distribution summary (histogram) and a linear relationship check (correlation) on feature availability data in a single low-cost call. Ideal for ML data-quality pipelines, dataset audits, or monitoring jobs where you supply up to 200 rows of populated/expected feature counts and want fast, offline statistical analysis without any external data fetching or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:55.091Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-equal-width-histogram-two-measure-1fa08beb"}