{"uid":"cap_99IA63EL4C3yRMoEa00A-","slug":"structured-data-observations-record-quality-audit-keyed-dataset-4826e96d","name":"Structured Data Observations — Record Quality Audit + Keyed Dataset Comparison","description":"Structured data observations — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison for supplied structured data observations records (valid_items, total_items). 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-web-08-018?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","valid_items","total_items"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"total_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"valid_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","total_items":1,"valid_items":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","total_items":2,"valid_items":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","total_items":3,"valid_items":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","total_items":4,"valid_items":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","valid_items","total_items"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"total_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"valid_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","total_items":1,"valid_items":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","total_items":2,"valid_items":21},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","total_items":3,"valid_items":17},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","total_items":4,"valid_items":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_qYn1NlZLaIha42SDFisU9","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":"Audits record quality and compares two keyed datasets of structured observations (valid_items, total_items) across up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and keyed dataset comparison on my two sets of structured observations? The first dataset has rows like row-1 for group-a on 2026-10-01 with valid_items=10 and total_items=1, and the second dataset has the same rows but with slightly different valid_items values — I want two independent reports covering all 4 rows.","exampleUseCases":[{"title":"Nightly ETL data quality gate","prompt":"I've got two batches of site observation records from last night's ETL run — the raw feed and the processed output — both keyed by row_id with date, site_group, valid_items, and total_items. Can you audit the record quality and compare the two datasets to catch any rows where values shifted unexpectedly?"},{"title":"A/B pipeline output validation","prompt":"We ran the same observation data through two different processing pipelines and I need to check if the valid_items and total_items values match up by row key. Can you do a keyed comparison of the two result sets and also flag any quality issues in either dataset?"},{"title":"Weekly data completeness review","prompt":"Here are this week's structured observation records for groups A and B across about 50 rows — each has a row_id, date, site_group, valid_items, and total_items. Can you audit them for record quality issues and also compare them against last week's records to see what changed?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit covering completeness, null checks, value range issues, and anomalies in the supplied observation rows; (2) a keyed dataset comparison report identifying differences between the primary and secondary datasets matched by row_id, highlighting value-level discrepancies in valid_items and total_items. All analysis is performed on the supplied data without external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, valid_items, total_items) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 bounds are rejected","Empty primary rows array (minItems:1 violated) causes failure","Malformed JSON or additional properties on row objects cause schema validation errors"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a row-keyed comparison of two structured observation datasets in a single API call. It is ideal for ETL validation, A/B pipeline output checks, or before/after dataset reconciliation where valid_items and total_items are the key metrics. At $0.01 per call for two reports covering up to 200 rows, it is cost-effective for routine data pipeline quality gates. Prefer alternatives if you need live data lookups, predictive analytics, or datasets larger than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:34.948Z","isFirstParty":false,"canonicalSlug":"structured-data-observations-record-quality-audit-keyed-dataset-4826e96d"}