{"uid":"cap_Q9hjj_CnVIlNHayvZdRc9","slug":"numeric-precision-comparisons-trailing-mean-series-adjacent-row-changes-26c8d21f","name":"Numeric Precision Comparisons — Trailing Mean Series + Adjacent Row Changes","description":"Numeric precision comparisons — Trailing mean series + Adjacent row changes: Trailing mean 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-20-146?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_2Nv5mTIoM7ebkEE9a27Nb","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":"Computes trailing moving averages and adjacent row-to-row change statistics for source_value/transformed_value pairs across up to 200 date-keyed records.","exampleAgentPrompt":"Run a trailing mean series and adjacent row changes analysis on my source_value field with a window of 3, using these 4 rows: row-1 on 2026-10-01 group-a source=10 transformed=1, row-2 on 2026-10-02 group-b source=20 transformed=2, row-3 on 2026-10-03 group-a source=15 transformed=3, row-4 on 2026-10-04 group-b source=30 transformed=4.","exampleUseCases":[{"title":"Detect drift in ETL pipeline outputs","prompt":"I have 50 rows of before-and-after ETL values with dates — can you compute a trailing mean series with window size 5 on the source_value field and also show me the adjacent row changes, so I can see where the transformation started drifting?"},{"title":"QA check on financial data transformation","prompt":"Run both the trailing mean and adjacent row change reports on my transformed_value column using a window of 10 — I've got 100 rows of financial records with row IDs, dates, and dataset groups that I need to validate for precision issues."},{"title":"Compare sensor readings across calibration groups","prompt":"I have calibration sensor data across two groups for 80 dates — please analyze the source_value field with a window of 4 to get the trailing mean series and the row-by-row changes so I can spot anomalies between adjacent readings."}],"resultDescription":"Returns two analytical reports for the submitted rows: (1) a trailing mean series showing the rolling average of the selected field (source_value or transformed_value) over the specified window, and (2) an adjacent row changes report showing value differences between consecutive rows. Both reports use shared local analytical engines with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Window size larger than number of rows — trailing mean may be incomplete or undefined for early rows","Invalid date format (not YYYY-MM-DD) — validation error","source_value or transformed_value outside ±1,000,000,000,000 — rejected","Missing required fields (row_id, dataset_group, date) — schema validation failure","Payment not completed via x402 protocol — endpoint not reached"],"whenToPreferThis":"Choose this endpoint when you need two fast, local statistical reports — trailing moving averages and adjacent row deltas — on a batch of up to 200 numeric precision comparison records (source vs transformed values). It is ideal for ETL validation, sensor drift detection, or financial precision auditing where you want both a smoothed trend and row-level change signals in a single low-cost call ($0.01 USDC). Prefer alternatives if you need forecasting, external data enrichment, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:50.843Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-trailing-mean-series-adjacent-row-changes-26c8d21f"}