{"uid":"cap_7jNEgFWdzy33FOp-NVbiC","slug":"feature-availability-analytics-numeric-interval-filter-adjacent-row-a890e9b6","name":"Feature Availability Analytics: Numeric Interval Filter + Adjacent Row Changes","description":"Feature availability — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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-10-127?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_eS48Lh8y81-V_TFrV61Ik","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 by filtering rows within a numeric interval and detecting adjacent row changes across populated_features or expected_features fields.","exampleAgentPrompt":"Run a numeric interval filter and adjacent row change analysis on my feature availability records — filter the populated_features field to values between 5 and 100, and send these rows: row-1 on 2026-10-01 in group-a with populated_features=10 and expected_features=1, row-2 on 2026-10-02 in group-b with populated_features=20 and expected_features=2, row-3 on 2026-10-03 in group-a with populated_features=15 and expected_features=3.","exampleUseCases":[{"title":"Daily data quality audit","prompt":"I have 80 rows of daily feature availability records for two dataset groups. Filter the populated_features field between 0 and 50 and also show me where adjacent rows changed — rows go from 2026-11-01 to 2026-11-80, each with a row_id, dataset_group, populated_features, and expected_features value."},{"title":"Spot anomalous feature drops","prompt":"Can you check my feature availability data for adjacent row changes in the expected_features field and filter to values between 100 and 500? I'll give you 40 rows across group-alpha and group-beta dated from 2026-09-01 onwards."},{"title":"Compare feature population across interval","prompt":"I want two reports on my dataset: one showing which rows have populated_features between 20 and 200, and one showing where the value jumped or dropped between consecutive rows. Here are 60 rows with row IDs row-001 through row-060, all in dataset_group 'prod-us', dated from 2026-08-01."}],"resultDescription":"Returns two independent analytical reports: (1) rows from the input whose specified field value falls within the supplied numeric interval [minimum, maximum], and (2) a detection of adjacent row-to-row changes in the specified field across the supplied dataset — up to 200 rows processed per call.","failureModes":["Exceeding 200 rows returns a validation error","Missing required row fields (row_id, date, populated_features, expected_features) causes request rejection","Date values not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 range fail schema validation","Empty rows array returns an error","Invalid field enum value (not 'populated_features' or 'expected_features') causes failure"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous local analytical reports — interval filtering and adjacent row change detection — on feature availability data, without needing live lookups or external data enrichment. Ideal for data quality pipelines, feature population audits, and batch dataset inspection tasks up to 200 rows at $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:33.611Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-numeric-interval-filter-adjacent-row-a890e9b6"}