{"uid":"cap_mKP3jjqsI_0GlahtsyRlX","slug":"numeric-precision-comparisons-row-ordering-adjacent-row-changes-5adc47d0","name":"Numeric Precision Comparisons — Row Ordering & Adjacent Row Changes","description":"Numeric precision comparisons — Numeric row ordering + Adjacent row changes: Numeric row ordering + 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-20-116?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_Eths5gNz29qj1hbfDMl3f","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 supplied numeric source/transformed value pairs by computing numeric row ordering and adjacent row-to-row changes, delivering two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 50 rows of source and transformed numeric values by date — can you run a numeric row ordering report and adjacent row changes analysis on them using the source_value field?","exampleUseCases":[{"title":"ETL pipeline transformation audit","prompt":"I ran an ETL job that transformed raw revenue figures and I want to check both how the rows rank by source_value and what the sequential changes look like between adjacent rows — here are the 80 rows with their dates and group labels."},{"title":"Financial dataset delta review","prompt":"Can you analyze these 120 rows of before-and-after financial values, ordered by date, and give me a row ordering report plus the adjacent row changes for the transformed_value column?"},{"title":"QA check on numeric series","prompt":"I need to QA this series of 35 numeric readings — run the row ordering and adjacent row change reports on source_value so I can spot any anomalies in the sequence."}],"resultDescription":"Returns two analytical reports: (1) a numeric row ordering report ranking the supplied rows by the selected field, and (2) an adjacent row changes report showing the difference between consecutive rows for the selected numeric field (source_value or transformed_value). Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Rows array empty or missing — validation error","More than 200 rows submitted — rejected with max items error","date field does not match YYYY-MM-DD pattern — schema validation failure","source_value or transformed_value outside ±1,000,000,000,000 — rejected","Invalid field enum value (not source_value or transformed_value) — validation error","Null values in the selected field may affect ordering and delta calculations"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of paired numeric data (source and transformed values) and need both a ranked ordering of those rows and a sequential delta analysis between adjacent rows in a single call. It is ideal for data quality audits, ETL validation, and time-series change detection where no external data lookup or prediction is needed — just pure local computation on your supplied dataset.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:55.767Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-row-ordering-adjacent-row-changes-5adc47d0"}