{"uid":"cap_yN3Cnw-0ZzF_Oj0_2ucyW","slug":"feature-availability-analytics-string-normalisation-secondary-measure-26cc97a6","name":"Feature Availability Analytics — String Normalisation + Secondary-Measure Weighted Mean","description":"Feature availability — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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-10-034?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_8sijLD8UPLkOxdQFopdl1","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 string normalisation and secondary-measure weighted mean statistics over feature availability records (populated_features, expected_features) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and secondary-measure weighted mean analytics on my feature availability data? I have 4 rows across two groups — group-a and group-b — dated from 2026-10-01 to 2026-10-04, with populated_features values of 10, 20, 15, 30 and expected_features of 1, 2, 3, 4. Analyse the populated_features field.","exampleUseCases":[{"title":"Feature completeness audit by dataset group","prompt":"I have a batch of 50 feature availability records across three dataset groups with dates ranging through Q4 2025. Can you run string normalisation and weighted mean analytics on the populated_features field so I can see which groups have the best feature coverage?"},{"title":"Data pipeline quality reporting","prompt":"Our pipeline tracks populated_features and expected_features for each daily batch run — I've got about 120 rows from the last four months. Run string normalisation plus secondary-measure weighted mean on the expected_features field so I can generate a quality report."},{"title":"Comparing feature fill rates across experiment groups","prompt":"I'm comparing two experiment groups on feature availability — group-control and group-variant — with about 80 date-stamped rows total. Can you apply string normalisation and secondary-measure weighted mean to the populated_features column and give me the two analytical reports?"}],"resultDescription":"Two independent analytical reports per call: (1) a string normalisation report and (2) a secondary-measure weighted mean report, both computed locally over the supplied feature availability rows (up to 200). No external lookups or predictions are included.","failureModes":["Exceeding 200 rows causes a validation error","Missing required fields (row_id, date, populated_features, expected_features) cause rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null values for both populated_features and expected_features may produce undefined weighted mean results","Invalid field enum value (not 'populated_features' or 'expected_features') causes parameter rejection","Payment failure via x402 protocol blocks execution"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local statistical analysis of feature availability data — specifically string normalisation and secondary-measure weighted mean — over up to 200 rows, without requiring external lookups, live data, or professional assessments. It delivers two bundled reports per call at a fixed low cost, making it ideal for routine data quality checks or pipeline monitoring tasks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:06.503Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-string-normalisation-secondary-measure-26cc97a6"}