{"uid":"cap_lIdtIbwj6E2gPAHZAeFQb","slug":"numeric-precision-comparisons-record-quality-audit-string-b8b6cec2","name":"Numeric Precision Comparisons — Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Numeric precision comparisons — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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-20-194?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_nbn5zFJ5gLAo9YzrPSsbT","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 local analytical reports (record quality audit, string normalisation, and grouped numeric summary) on up to 200 rows of source/transformed numeric pairs, grouped by dataset category and date.","exampleAgentPrompt":"Can you run the three-report analytics bundle on my numeric precision comparison data — I have up to 50 rows with row IDs, dataset groups like 'group-a' and 'group-b', dates in YYYY-MM-DD format, and source_value vs transformed_value pairs — and give me the record quality audit, string normalisation, and grouped numeric summary?","exampleUseCases":[{"title":"ETL pipeline output validation","prompt":"I just ran an ETL job and want to verify the numeric precision across my 120 records — each has a source_value and a transformed_value grouped by 'raw' and 'processed' categories with daily dates from 2025-01-01 to 2025-04-30. Can you run the record quality audit, string normalisation, and grouped numeric summary on these rows so I can spot any drift or data quality issues?"},{"title":"Finance reconciliation grouped summary","prompt":"I have 80 rows of financial data with original and adjusted figures grouped into 'actuals' and 'forecasts' dataset groups dated throughout Q1 2025. Run the three analytics reports — quality audit, string normalisation check, and grouped numeric summary — focusing on the source_value field so I can see how the numbers break down by group."},{"title":"Data migration precision audit","prompt":"We migrated a database last week and I need to check the numeric precision of the migrated values against the originals. I have 200 rows with row IDs, a 'legacy' and 'migrated' dataset_group split, dates ranging from 2024-06-01 to 2024-06-30, and both source_value and transformed_value columns. Please give me all three reports: quality audit, string normalisation, and grouped numeric summary."}],"resultDescription":"Returns three independent analytical reports generated locally from the supplied rows: (1) a record quality audit flagging completeness and anomaly issues, (2) a string normalisation report on the numeric field representations, and (3) a grouped numeric summary (statistics by dataset_group). No external data is fetched or predictions made.","failureModes":["Exceeding 200 rows causes rejection — trim input to 200 rows maximum","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) causes validation error","Dates not matching YYYY-MM-DD pattern are rejected by schema validation","Numeric values outside ±1,000,000,000,000 are rejected","Invalid enum value for 'field' parameter causes error","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need three bundled local analytical reports (quality audit, string normalisation, grouped summary) on numeric source-vs-transformed pairs in a single low-cost call ($0.01 USDC). It is ideal for ETL validation, data migration audits, and numeric precision QA where no external lookups or ML predictions are needed and data stays local. Prefer it over single-report endpoints when you need all three report types simultaneously for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:15.324Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-record-quality-audit-string-b8b6cec2"}