{"uid":"cap_tCilrBirzN3fQlQSWItM_","slug":"numeric-precision-comparisons-category-frequencies-adjacent-row-changes-1b0cd3ef","name":"Numeric Precision Comparisons — Category Frequencies & Adjacent Row Changes","description":"Numeric precision comparisons — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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-20-104?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_63vSwZfyOtHv68L32hnvx","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 user-supplied numeric pairs (source_value, transformed_value) to produce two reports: category frequency distributions and adjacent-row delta changes, up to 200 rows.","exampleAgentPrompt":"Analyze these 4 rows of source and transformed numeric values — I want both a category frequency breakdown and adjacent row change report for the source_value field: row-1 group-a 2026-10-01 source=10 transformed=1, row-2 group-b 2026-10-02 source=20 transformed=2, row-3 group-a 2026-10-03 source=15 transformed=3, row-4 group-b 2026-10-04 source=30 transformed=4.","exampleUseCases":[{"title":"ETL pipeline numeric drift check","prompt":"I ran a data transformation on my sales figures and want to see how the values changed row by row and how the categories are distributed — here are 50 rows with their original and transformed values by date and group, analyze the source_value field."},{"title":"QA audit of precision rounding","prompt":"Can you run a category frequency and adjacent row change report on these 120 rows where I have pre-rounding and post-rounding numeric values, grouped by region? I want to spot where the rounding caused the biggest step changes."},{"title":"Financial data transformation validation","prompt":"I have 200 rows of daily revenue figures before and after a currency conversion — please give me the frequency distribution of precision categories and the row-to-row delta report on the transformed_value field so I can validate the conversion logic."}],"resultDescription":"Returns two independent analytical reports for up to 200 supplied rows: (1) a category frequency breakdown showing how often each numeric precision category appears in the selected field, and (2) an adjacent row change report showing the delta between consecutive rows, grouped by dataset_group and ordered by date.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) — schema validation failure","Date field not in YYYY-MM-DD format — pattern validation error","Numeric values outside ±1,000,000,000,000 range — schema bounds error","Empty rows array — minItems validation failure","Invalid field enum value (not source_value or transformed_value) — enum validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular numeric data with source and transformed value pairs and need two specific offline analytical outputs — category frequency distributions and consecutive-row change detection — without any external data lookup, prediction, or live enrichment. Ideal for ETL validation, data quality auditing, and precision transformation review on datasets up to 200 rows. Prefer this over general-purpose analytics tools when you want a lightweight, low-cost ($0.01 USDC) dual-report computation on supplied data only.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:33.709Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-category-frequencies-adjacent-row-changes-1b0cd3ef"}