{"uid":"cap_7E6wCmaciB0YkiQ6kkC-X","slug":"numeric-precision-comparisons-trailing-mean-series-base-100-series-d5c4d5f3","name":"Numeric Precision Comparisons — Trailing Mean Series + Base-100 Series","description":"Numeric precision comparisons — Trailing mean series + Base-100 series: Trailing mean series + Base-100 series 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-20-147?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},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_UgevUUBBP778JahyuBk0O","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 mean series and base-100 index series for supplied source_value/transformed_value pairs, producing two analytical reports for up to 200 rows of numeric precision comparison data.","exampleAgentPrompt":"Run a trailing mean and base-100 index analysis on my precision comparison data — here are 4 rows with source and transformed values dated 2026-10-01 through 2026-10-04 in groups A and B, use a window of 2 and base index 0, and analyze the source_value field.","exampleUseCases":[{"title":"Validate ETL transformation accuracy","prompt":"I ran an ETL pipeline that transforms raw sales figures — can you compute the trailing mean series with a window of 3 and a base-100 index starting at position 0 for my source_value field across these 50 rows of before/after data so I can see where the transformation drifts?"},{"title":"Track currency conversion drift over time","prompt":"I have daily source exchange rates and their converted values for the past 60 trading days — please run a trailing mean with window 5 and a base-100 series anchored at day 0 on the source_value column so I can spot where the conversion starts to deviate."},{"title":"Benchmark ML model output vs ground truth","prompt":"My ML model outputs predicted scores alongside ground-truth scores for 150 test samples — generate a trailing mean series with window 10 and a base-100 index series at base index 0 on the transformed_value field so I can visualize how predictions trend relative to actuals."}],"resultDescription":"Returns two analytical reports for the supplied rows: (1) a trailing mean series computed over the specified window for the chosen field (source_value or transformed_value), and (2) a base-100 index series anchored at the specified base index position — both covering up to 200 input rows with row_id and dataset_group context preserved.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — request rejected","Window size larger than number of rows — trailing mean series may be empty or partial","base_index out of range for supplied row count — error or undefined anchor","Null values in source_value or transformed_value may cause gaps in series output","Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure"],"whenToPreferThis":"Choose this endpoint when you have already-collected numeric comparison data (source vs transformed values) and need both a smoothed trailing mean series and a base-100 normalized index series computed locally without any external data lookups. Ideal for validating ETL pipelines, benchmarking model outputs, or auditing numeric transformations at low cost ($0.01 for both reports on up to 200 rows). Not appropriate if you need live data fetching, predictions, or more than 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:17.792Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-trailing-mean-series-base-100-series-d5c4d5f3"}