{"uid":"cap_ROAxOR6qDvsP_HbPevww-","slug":"feature-availability-record-quality-audit-string-normalisation-keyed-202a212c","name":"Feature Availability — Record Quality Audit + String Normalisation + Keyed Dataset Comparison","description":"Feature availability — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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-10-207?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"expected_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_features":1,"populated_features":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_features":2,"populated_features":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_features":3,"populated_features":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_features":4,"populated_features":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","populated_features","expected_features"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_features":3,"populated_features":17},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_features":4,"populated_features":33}],"maxItems":200,"minItems":0}}},"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_01myV0piOhaYFet32fr0d","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 analytical reports on feature availability records: a record quality audit, string normalisation, and a keyed dataset comparison between two supplied datasets (up to 200 rows each).","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and keyed comparison on these two sets of feature availability records — I have up to 50 rows in each, with row IDs, dataset groups, dates, and populated vs expected feature counts?","exampleUseCases":[{"title":"Feature completeness audit for ML pipeline","prompt":"I have a dataset of 80 feature availability records with row IDs, group labels, dates, and populated vs expected feature counts — can you run a record quality audit on them so I can see where data is missing or malformed?"},{"title":"Comparing two feature datasets for drift","prompt":"I need to compare two versions of our feature availability dataset by key — each has about 120 rows with row_id, dataset_group, date, and populated and expected feature counts. Can you run a keyed dataset comparison to find any mismatches?"},{"title":"Normalising feature label strings before joining","prompt":"Before I join these feature availability records across teams, can you run string normalisation on the dataset_group and other string fields across my 60-row dataset so inconsistent labels get cleaned up?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging data issues in the supplied feature availability rows, (2) a string normalisation report cleaning and standardising string fields, and (3) a keyed dataset comparison report identifying differences between the primary and secondary datasets by row key — all computed locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, populated_features, expected_features) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Numeric values out of allowed range (±1 trillion) — rejection","Empty rows array (minItems: 1 not met) — validation error"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations on feature availability records — quality auditing, string normalisation, and keyed dataset comparison — in a single $0.01 call for up to 200 rows. Prefer it over single-purpose analytics endpoints when your workflow requires all three reports and you want to minimise API calls and cost. Best suited for batch offline analysis, not real-time or predictive use cases.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:20.976Z","isFirstParty":false,"canonicalSlug":"feature-availability-record-quality-audit-string-normalisation-keyed-202a212c"}