{"uid":"cap_Ei4mPbUwmcqBxTNm4MX_a","slug":"numeric-precision-comparisons-daily-sum-series-adjacent-row-changes-6458a17f","name":"Numeric Precision Comparisons — Daily Sum Series & Adjacent Row Changes","description":"Numeric precision comparisons — Daily sum series + Adjacent row changes: Daily sum series + 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-20-137?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_PWTRcu0rx7Sd64oFMh5d1","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 two local analytical reports (daily sum series and adjacent row changes) on supplied source_value/transformed_value numeric data, up to 200 rows, for $0.01 USDC.","exampleAgentPrompt":"I have 4 rows of source and transformed values by date — can you run the daily sum series and adjacent row change reports on source_value for this dataset: row-1 2026-10-01 group-a source=10 transformed=1, row-2 2026-10-02 group-b source=20 transformed=2, row-3 2026-10-03 group-a source=15 transformed=3, row-4 2026-10-04 group-b source=30 transformed=4?","exampleUseCases":[{"title":"ETL transformation audit by date","prompt":"I ran an ETL pipeline and want to audit the numeric precision — can you compute the daily sums and day-over-day changes for my source_value column across these 50 dated records so I can see where the transformation introduced differences?"},{"title":"Daily revenue vs adjusted revenue comparison","prompt":"I have daily revenue figures and their adjusted counterparts for October — please run both the daily sum series and adjacent row change reports on the transformed_value field for these 30 rows so I can spot any unusual jumps."},{"title":"Sensor reading delta analysis","prompt":"Here are 120 rows of sensor readings with original and calibrated values grouped by sensor ID and date — run the daily aggregation and consecutive row change reports on source_value so I can see cumulative daily totals and how readings shift between adjacent entries."}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum series aggregating the chosen field (source_value or transformed_value) by date across all supplied rows, and (2) an adjacent row changes report showing the delta between consecutive rows — all computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, dataset_group, source_value, transformed_value) — validation error","Date field not in YYYY-MM-DD format — pattern validation failure","Numeric values outside ±1,000,000,000,000 range — schema rejection","Empty rows array — minItems constraint violation","Invalid field enum value (not source_value or transformed_value) — schema error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline analytical summaries (daily aggregation + row-to-row deltas) on a small-to-medium numeric dataset (up to 200 rows) with source and transformed value pairs, without requiring any external data enrichment, live lookups, or predictions. Ideal for ETL audits, data quality checks, and time-series spot-checks at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:27.044Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-daily-sum-series-adjacent-row-changes-6458a17f"}