{"uid":"cap_lxxp6OsYH_9H6htYkMBzc","slug":"feature-availability-analytics-numeric-distribution-row-ordering-bedf855f","name":"Feature Availability Analytics — Numeric Distribution & Row Ordering","description":"Feature availability — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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-10-073?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_UqcqIrzUYbcaRNiJ8siBE","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 numeric distribution statistics and row ordering reports for feature availability records (populated_features, expected_features) across up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a numeric distribution and row ordering analysis on my feature availability data? I have rows with populated_features and expected_features values across groups like 'group-a' and 'group-b' for dates in October 2026 — analyze the populated_features field.","exampleUseCases":[{"title":"Dataset completeness distribution audit","prompt":"I have 150 rows of feature availability data with populated_features and expected_features counts per dataset group and date — can you give me the numeric distribution breakdown and row ordering for the populated_features field so I can see where completeness is clustering?"},{"title":"Ranking rows by expected feature counts","prompt":"Can you analyze my feature availability records and order the rows numerically by expected_features, plus show me the distribution of those values? I have about 80 rows across groups called 'finance' and 'ops' dated from 2025-01-01 to 2025-03-31."},{"title":"Spotting outliers in feature population rates","prompt":"Run a distribution and row ordering report on my feature availability dataset — I want to see how populated_features values are spread out and which rows rank highest or lowest. There are around 50 rows across two dataset groups for dates in Q1 2026."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report showing how the selected field's values are spread across the submitted rows, and (2) a numeric row ordering report ranking the rows by the selected field value — both computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) causes validation error","Missing required fields (row_id, date, populated_features, expected_features) causes schema rejection","Null values in the selected field may affect distribution and ordering results","Invalid field enum value (not 'populated_features' or 'expected_features') causes error","Payment of 0.01 USDC not fulfilled — request blocked"],"whenToPreferThis":"Choose this endpoint when you have up to 200 feature availability records with populated_features and expected_features numeric fields and need both a distribution analysis and a row ordering report in a single low-cost call ($0.01 USDC). It is ideal for lightweight, offline statistical analysis of dataset completeness metrics without requiring external data sources or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:52.275Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-numeric-distribution-row-ordering-bedf855f"}