{"uid":"cap_dUB7O_Te6yktLsnAkRAV0","slug":"feature-availability-analytics-record-quality-audit-string-675a0f2f","name":"Feature Availability Analytics: Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Feature availability — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied feature availability records (populated_features, expected_features). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-10-194?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_17szOJINGPcjNnjLxvsjQ","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 three local analytical reports on feature availability records: a record quality audit, string normalisation, and a grouped numeric summary — all within a single $0.01 USDC call for up to 200 rows.","exampleAgentPrompt":"Can you audit the quality of my feature availability records, normalise the string fields, and give me a grouped numeric summary — I have about 50 rows with columns for row_id, dataset_group, date, populated_features, and expected_features, and I want the summary grouped on populated_features?","exampleUseCases":[{"title":"Feature coverage completeness audit","prompt":"I have 120 feature availability records with populated_features and expected_features counts per dataset group. Can you run a record quality audit on them, normalise the dataset_group strings, and give me a grouped numeric summary so I can see which groups have the worst feature coverage?"},{"title":"Pre-release dataset health check","prompt":"Before we release this dataset, can you check the quality of all 80 feature availability rows — flag any bad records, normalise the string fields, and summarise the expected_features numbers grouped by dataset_group?"},{"title":"Daily feature pipeline monitoring","prompt":"Every morning I want to audit today's feature availability batch — about 200 rows — for record quality issues, normalise the string fields, and produce a grouped numeric summary on populated_features so I can spot anomalies by group."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed values across the submitted rows; (2) string-normalised versions of string fields (e.g. dataset_group); and (3) a grouped numeric summary (e.g. counts, min, max, mean) for the selected field (populated_features or expected_features) broken down by dataset_group. All computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected with a row-limit error","Missing required fields (row_id, date, populated_features, expected_features) cause validation failure","Date strings not matching YYYY-MM-DD pattern are flagged or rejected","Null numeric values may be excluded or flagged in the quality audit","Invalid field selector enum value returns a schema validation error"],"whenToPreferThis":"Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) triple-report on feature availability data covering quality auditing, string normalisation, and grouped numeric summarisation in one call, without requiring any external API lookups, ML predictions, or real-time data sources. Ideal for data pipeline hygiene checks on datasets of up to 200 rows where offline, deterministic analytics are sufficient.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:30.715Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-record-quality-audit-string-675a0f2f"}