{"uid":"cap_gPs1JHW-y9EFtLxZTQmUc","slug":"numeric-precision-comparisons-adjacent-row-changes-base-100-series-e8469f2c","name":"Numeric Precision Comparisons — Adjacent Row Changes + Base-100 Series","description":"Numeric precision comparisons — Adjacent row changes + Base-100 series: Adjacent row changes + 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-20-155?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_SApBNQgMQbwPVVcFkZpAa","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":"Analyzes up to 200 rows of source/transformed numeric pairs, producing two reports: adjacent row changes and a base-100 indexed series, both computed locally without external lookups.","exampleAgentPrompt":"I have 50 rows of source and transformed revenue figures by date — can you run the adjacent row changes and base-100 indexed series reports on the source_value field, using row 0 as the base index?","exampleUseCases":[{"title":"Index sales data to base-100 for comparison","prompt":"I've got monthly sales figures for two product lines with source and transformed values — please generate a base-100 series starting from the first row and also show me the adjacent row changes for the source_value field across all 120 rows."},{"title":"Track precision drift between raw and processed values","prompt":"I want to see how my transformed_value column differs from the source_value column row-by-row — can you run both the adjacent row changes and base-100 reports on this dataset of 80 records so I can spot where precision drift is largest?"},{"title":"Normalize a financial time series for benchmarking","prompt":"Here are 200 rows of daily closing prices with their adjusted values — run the base-100 index series anchored at row 0 and the adjacent row delta report on the source_value field so I can benchmark performance over time."}],"resultDescription":"Returns two independent analytical reports computed from the supplied rows: (1) an adjacent row changes report showing numeric deltas between consecutive rows for the selected field, and (2) a base-100 series report indexing the selected field relative to the specified base row. Both reports are generated locally from the provided data with no external data sources.","failureModes":["Exceeding 200 rows causes rejection — only up to 200 rows accepted per call","Invalid date format (non YYYY-MM-DD) triggers schema validation failure","base_index out of range (≥ number of rows supplied) causes an error","null values in source_value or transformed_value may produce null or skipped deltas in the adjacent row report","Missing required fields (row_id, dataset_group, date) cause request rejection","Supplying an invalid field enum value (not source_value or transformed_value) returns a validation error"],"whenToPreferThis":"Choose this endpoint when you need both adjacent row change analysis AND a base-100 indexed series computed together on the same dataset of source/transformed numeric pairs in a single API call, saving cost over calling two separate endpoints. It is ideal for time-series normalization and precision comparison workflows where the data is already in hand and no external enrichment or lookup is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:30.806Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-adjacent-row-changes-base-100-series-e8469f2c"}