{"uid":"cap_8LqWh7a1fTriqR995v3Pb","slug":"feature-availability-string-normalisation-daily-sum-series-138e3f35","name":"Feature Availability — String Normalisation + Daily Sum Series","description":"Feature availability — String normalisation + Daily sum series: String normalisation + Daily sum series 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-10-027?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_rLK5Q38U1mtDL8DafUSXW","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":"Runs two local analytical reports on feature availability data: string normalisation and daily sum series, for up to 200 rows.","exampleAgentPrompt":"Can you run a string normalisation and daily sum series analysis on my feature availability records? I have rows for dataset groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04, with populated_features and expected_features values, and I want the report on the populated_features field.","exampleUseCases":[{"title":"Daily feature completeness audit","prompt":"I have 150 rows of feature availability data with dates, dataset groups, populated_features and expected_features — can you normalize the strings and give me a daily sum series for populated_features so I can see day-by-day totals?"},{"title":"Expected feature coverage tracking","prompt":"Run a string normalisation and daily sum series report on my expected_features data across these dataset groups — I need to track how many features were expected each day over the past month."},{"title":"Multi-group feature availability rollup","prompt":"I've got feature availability records from two dataset groups spanning 30 days, each row has a row_id, date, populated_features and expected_features — can you run both the string normalisation and daily sum series analytics on the expected_features column?"}],"resultDescription":"Returns two independent analytical reports: (1) a string normalisation report on the feature availability records and (2) a daily sum series aggregating the selected numeric field (populated_features or expected_features) by date, computed locally without external lookups or live data.","failureModes":["Exceeds 200-row limit — request rejected, reduce batch size","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, date, populated_features, expected_features) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — validation error","Invalid field enum value (must be 'populated_features' or 'expected_features') — rejected"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a daily sum series on feature availability records in a single low-cost call (up to 200 rows, $0.01 USDC). Ideal for lightweight, offline analytical pipelines that do not require live data lookups, predictions, or external enrichment. Prefer it over separate analytics services when you want two bundled reports computed locally on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:17:26.409Z","isFirstParty":false,"canonicalSlug":"feature-availability-string-normalisation-daily-sum-series-138e3f35"}