{"uid":"cap_KNEP0dxYpGLFkZjNtcJlK","slug":"numeric-precision-comparisons-date-by-category-pivot-keyed-dataset-a63ecd25","name":"Numeric Precision Comparisons — Date by Category Pivot + Keyed Dataset Comparison","description":"Numeric precision comparisons — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison for supplied numeric precision comparisons records (source_value, transformed_value). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-188?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"transformed_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_value":10,"dataset_group":"group-a","transformed_value":1},{"date":"2026-10-02","row_id":"row-2","source_value":20,"dataset_group":"group-b","transformed_value":2},{"date":"2026-10-03","row_id":"row-3","source_value":15,"dataset_group":"group-a","transformed_value":3},{"date":"2026-10-04","row_id":"row-4","source_value":30,"dataset_group":"group-b","transformed_value":4}],"maxItems":200,"minItems":1},"field":{"enum":["source_value","transformed_value"],"type":"string","default":"source_value"},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_value","transformed_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"dataset_group":"group-b","transformed_value":2},{"date":"2026-10-03","row_id":"row-3","source_value":17,"dataset_group":"group-a","transformed_value":3},{"date":"2026-10-04","row_id":"row-4","source_value":33,"dataset_group":"group-b","transformed_value":4}],"maxItems":200,"minItems":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_BZyq-yQQyxkm2Dc_wCNZf","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":"Accepts up to 200 rows of numeric precision comparison data and returns two analytical reports: a date-by-category pivot table and a keyed dataset comparison, all processed locally without external lookups.","exampleAgentPrompt":"I have two sets of numeric precision records — up to 200 rows each with row IDs, dataset groups, dates, source values, and transformed values — can you run a date-by-category pivot and a keyed dataset comparison on them so I can see where the transformations diverge?","exampleUseCases":[{"title":"ETL transformation accuracy audit","prompt":"I ran a data pipeline that transformed financial figures and I want to check accuracy — I have 150 rows with row IDs, categories like 'revenue' and 'cost', dates from 2026-09-01 to 2026-09-30, plus the original and transformed values. Can you pivot these by date and category and then do a keyed comparison between the two datasets so I can spot where the transformation went wrong?"},{"title":"A/B numeric model output comparison","prompt":"I have outputs from two versions of my prediction model, stored as source_value and transformed_value across 80 rows with group labels 'model-a' and 'model-b' and daily dates in October 2026. Can you run a date-by-category pivot and a keyed dataset comparison on the source_value field so I can see how the two models diverge over time?"},{"title":"Data quality check on category measurements","prompt":"We have sensor readings from three equipment categories — 'pump', 'valve', and 'motor' — across 120 records with dates and both raw and normalized numeric values. Can you pivot those by date and category and compare the two datasets keyed by row ID, using the transformed_value field, so I can see which categories have the biggest measurement shifts?"}],"resultDescription":"Two independent analytical reports: (1) a date-by-category pivot table showing numeric values (source_value or transformed_value) broken down by date rows and dataset_group columns, and (2) a keyed dataset comparison that matches rows between the primary and secondary datasets by row_id to highlight numeric differences. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows in either dataset results in rejection","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) causes validation error","Date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array (minItems:1 not met) causes error","Payment of 0.01 USDC not completed results in 402 response"],"whenToPreferThis":"Choose this endpoint when you need both a date-by-category pivot and a keyed dataset comparison in a single call for up to 200 rows of numeric precision comparison data. It is ideal for ETL validation, transformation auditing, or A/B numeric comparisons where you have source and transformed values with categorical groupings and dates. It is more cost-effective than calling two separate analytical endpoints when both report types are needed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:48.248Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-date-by-category-pivot-keyed-dataset-a63ecd25"}