{"uid":"cap_Hg7oM54UYgBY8QB6wgS9z","slug":"numeric-precision-comparisons-daily-sum-series-base-100-series-866e89d4","name":"Numeric Precision Comparisons — Daily Sum Series + Base-100 Series","description":"Numeric precision comparisons — Daily sum series + Base-100 series: Daily sum 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-20-138?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"},"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_nRdMl56kXzJnpQrrhiQdp","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 two analytical reports (daily sum series and base-100 index series) for supplied numeric precision comparison data rows (source_value vs transformed_value), up to 200 rows per call.","exampleAgentPrompt":"Run both the daily sum series and base-100 index reports on my numeric comparison data — I have 4 rows with dates from 2026-10-01 to 2026-10-04, source values 10, 20, 15, 30 and transformed values 1, 2, 3, 4, grouped into group-a and group-b, using source_value as the field and row 0 as the base index.","exampleUseCases":[{"title":"ETL transformation accuracy audit","prompt":"I have a dataset of 50 rows where each row has an original source value and a post-ETL transformed value tagged by date and pipeline group — can you run the daily sum series and base-100 index reports so I can see where the transformation is drifting from the source?"},{"title":"Financial data normalization check","prompt":"I want to compare my raw daily revenue figures against the normalized values my model produced — I have 120 rows from 2025-01-01 to 2025-04-30 across three business units. Generate the daily sum series and base-100 series using source_value as the field and day 0 as the baseline."},{"title":"Scientific measurement precision analysis","prompt":"Can you run both the daily aggregate and base-100 index reports on my lab measurement data? I've got 80 rows of sensor readings paired with their calibrated transformed values, dated across March 2026, and I want to see daily totals and how each series tracks relative to the first reading."}],"resultDescription":"Returns two independent analytical reports computed locally from the supplied rows: (1) a daily sum series aggregating the selected field by date, and (2) a base-100 index series normalizing the selected field relative to the specified base row index. Up to 200 input rows are supported per call.","failureModes":["Missing required row fields (row_id, date, source_value, transformed_value, dataset_group) cause validation errors","Date values not matching YYYY-MM-DD pattern are rejected","Input array exceeding 200 items returns an error","base_index pointing to a row index outside the supplied array bounds may cause computation errors","Null values in the selected field may affect aggregation accuracy"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous local analytical computations — a daily sum series and a base-100 index — on a batch of numeric comparison rows (source vs transformed values) without requiring live data lookup, external enrichment, or professional assessment. Ideal for ETL validation, data quality checks, and precision auditing workflows where you already have the data and need fast, deterministic aggregation and indexing at 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":"2026-10-15T06:40:34.956Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-daily-sum-series-base-100-series-866e89d4"}