{"uid":"cap_UyzFv3zSO5bZGdyeCtS9O","slug":"data-freshness-analytics-record-quality-audit-exact-row-deduplication-5b877b23","name":"Data Freshness Analytics: Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering","description":"Data freshness — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering for supplied data freshness records (age_minutes, record_count). 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-06-213?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","age_minutes","record_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"age_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"record_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","age_minutes":10,"record_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","age_minutes":20,"record_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","age_minutes":15,"record_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","age_minutes":30,"record_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["age_minutes","record_count"],"type":"string","default":"age_minutes"}}},"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_5tGXiNY0t9P8wb7IGxRpr","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 independent analytical reports on supplied data freshness records (age_minutes, record_count): a record quality audit, exact row deduplication, and numeric row ordering — all locally, with no external lookups.","exampleAgentPrompt":"Can you run a record quality audit, exact deduplication check, and numeric ordering report on my data freshness rows? I have 4 records with fields row_id, dataset_group, date, age_minutes, and record_count — order by age_minutes.","exampleUseCases":[{"title":"Pipeline freshness log quality check","prompt":"I have a set of data freshness records from my ETL pipeline — each has a row_id, dataset_group, date, age_minutes, and record_count. Can you audit them for quality issues, flag any exact duplicates, and sort them numerically by age_minutes?"},{"title":"Deduplication audit for monitoring dataset","prompt":"Run a deduplication and quality audit on these 50 freshness monitoring rows I'm uploading. I want to know which rows are exact duplicates and get a quality report, ordering by record_count."},{"title":"Ordered freshness snapshot for reporting","prompt":"I need three reports on my data freshness snapshot — a quality audit, a duplicate row check, and the rows sorted numerically by record_count. There are about 120 rows with age_minutes and record_count fields."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging issues such as nulls or out-of-range values in age_minutes and record_count, (2) an exact row deduplication report identifying identical rows, and (3) a numerically ordered version of the input rows sorted by the selected field (age_minutes or record_count). Up to 200 input rows are supported.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date, age_minutes, record_count) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","field enum value not one of ['age_minutes','record_count'] — rejected","Empty rows array (minItems:1 not satisfied) — error","Payment of 0.01 USDC not provided — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data freshness records and need all three of: a quality audit, exact deduplication, and numeric ordering — bundled at a flat $0.01 USDC cost. Prefer it over general-purpose data tools when working specifically with age_minutes and record_count freshness metrics and needing fast, local, no-external-lookup analytical reports in one call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:28.693Z","isFirstParty":false,"canonicalSlug":"data-freshness-analytics-record-quality-audit-exact-row-deduplication-5b877b23"}