{"uid":"cap_LCjBrZpA5y13WjbMO44PO","slug":"numeric-precision-comparisons-record-quality-audit-string-79b9cee6","name":"Numeric Precision Comparisons — Record Quality Audit + String Normalisation + Base-100 Series","description":"Numeric precision comparisons — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 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-20-201?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_0RzQrC0qn74fAMlS0YqWH","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, string normalisation, and base-100 index series) on up to 200 rows of source/transformed numeric value pairs.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and base-100 index series on these 50 rows of source_value and transformed_value pairs from group-a and group-b, using source_value as the field and row index 0 as the base?","exampleUseCases":[{"title":"ETL pipeline output validation","prompt":"I just ran an ETL job and have up to 150 rows with original source values and their transformed equivalents — can you audit the record quality, normalise any string inconsistencies, and give me a base-100 series indexed from the first row so I can see how the transformation shifted values?"},{"title":"Finance dataset precision audit","prompt":"I have 80 rows of financial figures with their rounded transformed versions across two groups — please run a quality audit, string normalisation, and base-100 index series on the transformed_value field starting from row index 0 so I can spot precision loss."},{"title":"Survey response transformation check","prompt":"We transformed raw survey numeric scores into scaled values and I want to verify data quality — can you run the three-report bundle (record quality audit, string normalisation, base-100 series) on my 120 rows of source and scaled scores, using source_value as the target field?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging completeness and integrity issues across the supplied rows, (2) a string normalisation report highlighting inconsistencies in text fields, and (3) a base-100 index series rebasing the selected numeric field relative to the chosen base row — all computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows causes rejection — trim input to at most 200 rows","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) per row causes validation failure","Invalid date format (not YYYY-MM-DD) triggers schema validation error","base_index out of range (0–199) relative to the number of rows supplied returns an error","Null source_value and transformed_value in all rows may produce empty or degenerate series output","Payment of 0.01 USDC not included or declined results in 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and base-100 series — on numeric source/transformed value pairs in a single low-cost call. It is ideal for validating ETL pipeline outputs, auditing data transformations, or rebasing a numeric series, especially when working offline with supplied data (no external API calls made). Prefer it over single-report endpoints when you need all three reports at once for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:53.238Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-string-79b9cee6"}