{"uid":"cap_kBeyhoTu2qD5QKnqSsAHY","slug":"numeric-precision-comparisons-trailing-mean-series-two-measure-4df9dc9e","name":"Numeric Precision Comparisons — Trailing Mean Series + Two-Measure Correlation","description":"Numeric precision comparisons — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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-20-150?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_Jh3v2qThFI5s0CO4p88Ls","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 a trailing moving average series and a two-measure correlation for up to 200 rows of source_value/transformed_value numeric precision comparison data, returning two analytical reports locally without any external lookups.","exampleAgentPrompt":"Can you run a trailing mean series with a window of 5 and a two-measure correlation report on my numeric precision data — I have about 80 rows with source_value and transformed_value columns dated from 2024-01-01 through 2024-03-21, grouped into 'control' and 'experiment' groups?","exampleUseCases":[{"title":"ETL pipeline output validation","prompt":"I've transformed a dataset of 120 financial records and want to check how closely my transformed_value tracks the original source_value — can you run a trailing mean series with window 10 and a correlation report so I can see if the transformation is consistent?"},{"title":"A/B test numeric metric comparison","prompt":"I have 150 rows of experiment data split into two groups with source_value as the baseline metric and transformed_value as the variant — run a trailing mean with window size 7 and a two-measure correlation on the source_value field so I can spot any drift."},{"title":"Time series smoothing for sensor readings","prompt":"I've got 200 daily sensor readings where source_value is the raw reading and transformed_value is calibrated — please compute a rolling mean series with a window of 14 and correlate the two measures so I can assess how well calibration tracks the raw signal."}],"resultDescription":"Returns two analytical reports: (1) a trailing moving average series computed over the specified window size for the chosen field across all supplied rows, and (2) a Pearson or equivalent two-measure correlation between source_value and transformed_value. Both reports are computed locally using shared analytical engines on up to 200 input rows.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows supplied — exceeds maximum row limit","Window size larger than number of rows — trailing mean cannot be computed","Invalid date format (not YYYY-MM-DD) — schema validation error","source_value or transformed_value out of allowed range (±1,000,000,000,000) — validation error","Missing required fields (row_id, date, source_value, transformed_value) — schema rejection","Payment of 0.01 USDC not received — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both a trailing moving average series AND a two-measure correlation computed together on a small-to-medium dataset (up to 200 rows) of paired numeric values in a single low-cost call. It is ideal for ETL validation, A/B test analysis, sensor calibration checks, or any workflow comparing an original numeric measure against a transformed version over time. Prefer this over generic computation services when you want local, offline statistical analysis without external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:43.232Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-trailing-mean-series-two-measure-4df9dc9e"}