{"uid":"cap_1WVo-N9zRT5fBqizqen_K","slug":"data-freshness-analytics-record-quality-audit-exact-row-deduplication-c5cfd075","name":"Data Freshness Analytics: Record Quality Audit, Exact Row Deduplication & Numeric Distribution","description":"Data freshness — Record quality audit + Exact row deduplication + Numeric distribution: Record quality audit + Exact row deduplication + Numeric distribution 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-06-210?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_RK8FccFwjkopIosHWYxfD","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 (record quality audit, exact row deduplication, and numeric distribution) on supplied data freshness records containing age_minutes and record_count fields, for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, exact row deduplication check, and numeric distribution report on my data freshness records? Here are 4 rows: row-1 on 2026-10-01 with age_minutes=10 and record_count=1 in group-a, row-2 on 2026-10-02 with age_minutes=20 and record_count=2 in group-b, row-3 on 2026-10-03 with age_minutes=15 and record_count=3 in group-a, row-4 on 2026-10-04 with age_minutes=30 and record_count=4 in group-b — analyze the age_minutes field for the distribution report.","exampleUseCases":[{"title":"Data pipeline freshness health check","prompt":"I have a batch of 50 freshness monitoring records from our ETL pipeline — each has a date, dataset group, age in minutes, and record count. Can you audit them for quality issues, flag any exact duplicate rows, and show me the numeric distribution of age_minutes?"},{"title":"Deduplication before reporting","prompt":"Before I compile my weekly data freshness report, I want to make sure there are no duplicate rows in my dataset of 120 records. Can you run an exact row deduplication check plus a quality audit on all of them, and also give me the distribution of record_count values?"},{"title":"Dataset group comparison profiling","prompt":"I've got freshness records across two dataset groups — group-a and group-b — about 80 rows total. Can you profile them with a record quality audit, deduplicate any exact matches, and show the numeric distribution for age_minutes so I can compare how fresh each group is?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit highlighting issues such as nulls, invalid values, or malformed fields; (2) an exact row deduplication report identifying fully identical rows; and (3) a numeric distribution report (min, max, mean, percentiles, etc.) for the selected numeric field (age_minutes or record_count). All analysis is performed locally on the supplied rows — no external lookups or predictions are made.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, age_minutes, record_count) in any row","Invalid date format (must match YYYY-MM-DD)","Invalid field enum value (must be age_minutes or record_count)","Empty rows array (minItems is 1)","row_id or dataset_group strings exceeding 80 characters","Numeric values outside allowed range (-1000000000000 to 1000000000000)"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous analytical reports — quality audit, deduplication, and numeric distribution — on data freshness records with age_minutes and record_count fields, without requiring any external data sources or live lookups. It is ideal for lightweight, offline profiling of small-to-medium tabular datasets (up to 200 rows) at low cost ($0.01 USDC for all three reports). Prefer it over general-purpose analytics platforms when you need a self-contained, pay-per-call audit with no infrastructure setup.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:39.884Z","isFirstParty":false,"canonicalSlug":"data-freshness-analytics-record-quality-audit-exact-row-deduplication-c5cfd075"}