{"uid":"cap_hRAyz05wxXSi7ZTqV6g6D","slug":"feature-availability-analytics-numeric-distribution-adjacent-row-dcd759b5","name":"Feature Availability Analytics: Numeric Distribution & Adjacent Row Changes","description":"Feature availability — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-10-077?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_cprZeMiFSkkiRMn1tfjH7","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":"Analyzes feature availability records (populated_features, expected_features) to produce two reports: a numeric distribution histogram and an adjacent row change analysis, for up to 200 rows.","exampleAgentPrompt":"Analyze the numeric distribution and adjacent row changes for my feature availability data — here are 4 rows across two groups: row-1 on 2026-10-01 for group-a with populated_features=10 and expected_features=1, row-2 on 2026-10-02 for group-b with populated_features=20 and expected_features=2, row-3 on 2026-10-03 for group-a with populated_features=15 and expected_features=3, row-4 on 2026-10-04 for group-b with populated_features=30 and expected_features=4; run both reports on the populated_features field.","exampleUseCases":[{"title":"Daily feature completeness trend audit","prompt":"I have 50 rows of feature availability records across three dataset groups from the past month — can you run a numeric distribution and adjacent row changes analysis on the populated_features column so I can see where completeness is drifting?"},{"title":"MLOps pipeline data quality check","prompt":"Before I kick off training, can you analyze these 120 feature availability records for our model pipeline and give me a distribution histogram plus day-over-day change report on expected_features to confirm the data looks stable?"},{"title":"Cross-group feature population comparison","prompt":"I want to compare how populated_features are distributed within group-a versus group-b across these 80 rows — can you run the numeric distribution and adjacent row change reports on the populated_features field for me?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution/histogram of the selected field (populated_features or expected_features) across the supplied rows, showing spread, frequency bins, and summary statistics; (2) an adjacent row changes report showing deltas between consecutive rows, highlighting shifts in feature availability over time. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — exceeds maxItems limit, request rejected","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, date, populated_features, expected_features) — request rejected","Invalid field enum value (not 'populated_features' or 'expected_features') — schema error","Null values in numeric fields may affect distribution computation accuracy"],"whenToPreferThis":"Choose this endpoint when you need fast, offline statistical analysis of feature availability records — specifically a numeric distribution plus adjacent row change report — without any live data lookup or prediction. Ideal for data quality auditing, MLOps pipelines, and dataset observability workflows where you supply the rows directly (up to 200) and want two bundled analytical reports at minimal cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:26.928Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-numeric-distribution-adjacent-row-dcd759b5"}