{"uid":"cap_fwMYXsjRZv7EGgGaannpP","slug":"feature-availability-analytics-exact-row-deduplication-numeric-e1de5c37","name":"Feature Availability Analytics — Exact Row Deduplication + Numeric Distribution","description":"Feature availability — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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-10-039?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_vH2afbDXDwJWSAa2-u13N","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":"Performs exact row deduplication and numeric distribution analysis on up to 200 feature availability records (populated_features, expected_features) using local analytical engines.","exampleAgentPrompt":"Run deduplication and numeric distribution analysis on my feature availability data — I have 50 rows with populated_features values across two dataset groups (group-a and group-b) from October 2026, and I want both reports for the populated_features field.","exampleUseCases":[{"title":"Feature completeness audit across dataset groups","prompt":"I have 120 feature availability records split across three dataset groups from last quarter — can you deduplicate them and show me the numeric distribution of populated_features so I know if any groups are over- or under-populated?"},{"title":"Detecting duplicate entries in a feature log","prompt":"We exported our feature availability log for November and suspect there are duplicate row entries — can you run exact row deduplication on these 80 records and also give me the distribution of expected_features values?"},{"title":"Comparing expected vs actual feature population","prompt":"I need a quick analytics run on 45 feature availability rows from group-b dated between 2026-09-01 and 2026-09-30 — please deduplicate them and show the numeric distribution for the expected_features field."}],"resultDescription":"Two independent analytical reports: (1) an exact row deduplication report identifying and removing duplicate rows among the supplied records, and (2) a numeric distribution report summarizing the statistical spread (e.g. min, max, mean, percentiles, frequency buckets) of the selected field (populated_features or expected_features) across up to 200 rows. No external lookups or predictions are made — all computation is local.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, populated_features, expected_features) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern mismatch error","Numeric values outside allowed range (-1T to +1T) rejected","Empty rows array returns error or empty reports","Invalid field enum value (not populated_features or expected_features) causes schema error"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and numeric distribution statistics on feature availability data in a single cost-efficient call (2 reports for $0.01 USDC). It is ideal for offline/batch data quality checks on datasets up to 200 rows where no live lookup, prediction, or external action is required. Prefer alternatives if you need more than 200 rows, real-time enrichment, or analysis of non-feature-availability domains.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:15:40.862Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-exact-row-deduplication-numeric-e1de5c37"}