{"uid":"cap_fbQViaWdawbLWSxBLe_yf","slug":"numeric-precision-comparisons-record-quality-audit-exact-row-74a1e954","name":"Numeric Precision Comparisons — Record Quality Audit + Exact Row Deduplication + Adjacent Row Changes","description":"Numeric precision comparisons — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes 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-20-217?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"}}},"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_DtfO4EIog303Zvd9MC3qW","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":"Analyzes up to 200 rows of source_value/transformed_value numeric pairs, producing three independent local reports: a record quality audit, exact row deduplication, and adjacent row change detection.","exampleAgentPrompt":"Can you run the three-report numeric precision audit on my dataset — checking record quality, exact duplicates, and adjacent row changes — for these rows using the source_value field? Here's the data: row-1, group-a, 2026-10-01, source=10, transformed=1; row-2, group-b, 2026-10-02, source=20, transformed=2.","exampleUseCases":[{"title":"ETL pipeline numeric validation","prompt":"I just ran an ETL job and want to check the output for data quality issues — can you audit up to 200 rows of my source_value vs transformed_value pairs, flag any duplicates, and show me where adjacent row values changed? Here's the dataset grouped by pipeline stage."},{"title":"Deduplication before data warehouse load","prompt":"Before I load these records into the warehouse, can you check for exact duplicate rows in this dataset of up to 150 numeric precision comparison records, and also give me a quality audit and adjacent change report on the source_value field?"},{"title":"Time-series transformation drift detection","prompt":"I have a daily numeric series with source and transformed values from 2026-10-01 through 2026-10-30 across two dataset groups. Can you run all three reports — quality audit, exact row deduplication, and adjacent row changes — on the transformed_value field so I can spot any drift or anomalies?"}],"resultDescription":"Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging nulls, out-of-range values, and completeness issues; (2) an exact row deduplication report identifying identical records; and (3) an adjacent row change report showing value differences between consecutive rows — all computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside [-1,000,000,000,000, 1,000,000,000,000] range are rejected","Empty rows array returns an error","Invalid field enum value (must be source_value or transformed_value) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need all three data quality operations — record audit, deduplication, and adjacent change detection — in a single call for up to 200 rows of numeric source/transformed value pairs. It is ideal for ETL validation, data pipeline QA, and numeric transformation auditing where no external data lookup or ML prediction is needed and cost efficiency matters ($0.01 for three reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:32.108Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-exact-row-74a1e954"}