{"uid":"cap_hX5pRn5Em8Jd-cF0RRIzv","slug":"numeric-precision-comparisons-record-quality-audit-exact-row-745df399","name":"Numeric Precision Comparisons — Record Quality Audit, Exact Row Deduplication & Trailing Mean Series","description":"Numeric precision comparisons — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series for supplied numeric precision comparisons records (source_value, transformed_value). 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-20-216?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_value","transformed_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"transformed_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_value":10,"dataset_group":"group-a","transformed_value":1},{"date":"2026-10-02","row_id":"row-2","source_value":20,"dataset_group":"group-b","transformed_value":2},{"date":"2026-10-03","row_id":"row-3","source_value":15,"dataset_group":"group-a","transformed_value":3},{"date":"2026-10-04","row_id":"row-4","source_value":30,"dataset_group":"group-b","transformed_value":4}],"maxItems":200,"minItems":1},"field":{"enum":["source_value","transformed_value"],"type":"string","default":"source_value"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_M85EB8vVFOTdeSvtmcN24","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 trailing mean series) on up to 200 rows of numeric source/transformed value pairs, using local analytical engines with no external lookups.","exampleAgentPrompt":"Can you run the three-part numeric precision analysis on my dataset — quality audit, exact deduplication, and trailing mean with a window of 3 — using these rows: row-1 on 2026-10-01 in group-a with source_value 100 and transformed_value 105, row-2 on 2026-10-02 in group-b with source_value 200 and transformed_value 210, and row-3 on 2026-10-03 in group-a with source_value 100 and transformed_value 105? Use source_value as the field for the mean series.","exampleUseCases":[{"title":"ETL pipeline transformation validation","prompt":"I just ran an ETL job on my pricing data — can you do a quality audit and deduplication check on these 50 rows of source vs transformed values, grouped by region, dated from 2026-09-01 through 2026-09-10? Also compute a trailing mean series with a window of 5 on the source_value field so I can spot anomalies."},{"title":"Duplicate detection in financial records","prompt":"I need to find exact duplicate rows in my financial transaction dataset — here are 80 rows with row IDs, dates from 2026-01-01 to 2026-03-31, dataset groups like 'revenue' and 'expenses', and both source and transformed amounts. Can you run the full three-report analysis with a window of 4?"},{"title":"Data quality audit for sensor readings","prompt":"Can you audit the quality of my sensor readings dataset? I have 120 rows with sensor IDs as row IDs, measurement dates in 2026, group labels like 'sensor-a' and 'sensor-b', raw readings as source_value and calibrated readings as transformed_value. Run all three reports using transformed_value for the trailing mean with a window of 6."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging completeness and precision issues across source/transformed value pairs; (2) an exact row deduplication report identifying duplicate rows within the dataset; (3) a trailing mean series computed over a specified field (source_value or transformed_value) with the requested window size. All computed locally from supplied data, no external data fetched.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Window size smaller than 2 or larger than number of rows — trailing mean computation may fail or produce empty results","Date field not matching YYYY-MM-DD pattern — row rejected or report incomplete","source_value or transformed_value outside ±1,000,000,000,000 range — schema validation error","row_id missing or empty — row rejected","Invalid field enum value (not 'source_value' or 'transformed_value') — error returned","Payment of 0.01 USDC not provided — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need all three of record quality auditing, exact deduplication, and trailing mean series in a single API call on a batch of up to 200 numeric source/transformed value rows. It is ideal for ETL validation workflows, data transformation QA pipelines, and time-series smoothing checks where cost efficiency matters (three reports for $0.01 USDC). Prefer this over building custom scripts when you need quick, local analytical results without any external data dependencies or professional assessments.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:45.491Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-exact-row-745df399"}