{"uid":"cap_pBvyZbdYuqXCy2GAmXMYK","slug":"numeric-precision-comparisons-interval-filter-adjacent-row-changes-5a7c57c0","name":"Numeric Precision Comparisons — Interval Filter & Adjacent Row Changes","description":"Numeric precision comparisons — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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-20-127?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_-_xByTfLQabVvCImPZdM4","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: one filtering rows within a numeric interval and one detecting adjacent-row value changes.","exampleAgentPrompt":"I have 150 rows of source and transformed values with dates and group labels — can you run two reports on the source_value field: one filtering rows where the value falls between 50 and 500, and another showing where the value changes between adjacent rows?","exampleUseCases":[{"title":"ETL transformation audit","prompt":"I've got 80 rows with original and transformed numeric values from our ETL pipeline. Can you filter the source_value column for anything between 100 and 5000, and also flag where adjacent rows show a change in source_value so I can spot unexpected jumps?"},{"title":"Financial data range check","prompt":"Here are 200 rows of daily financial readings with source and transformed figures. Run a report filtering transformed_value between -250 and 250, and show me where consecutive rows differ in transformed_value — I'm looking for sudden shifts."},{"title":"Sensor data anomaly detection","prompt":"I have sensor readings across two groups for the past month — 120 rows total with raw and calibrated values. Filter the calibrated transformed_value to only rows between 0 and 100, and also give me a report of where the raw source_value changes between adjacent rows."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric interval filter report listing all rows where the chosen field (source_value or transformed_value) falls within the specified minimum–maximum range, and (2) an adjacent-row changes report showing where consecutive rows differ in that field — all computed locally against the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row validation failure","minimum greater than maximum results in empty interval filter report","Null values in the selected field may be excluded or cause partial results","Missing required row fields (row_id, dataset_group, date) cause schema validation errors","Values outside the ±1,000,000,000,000 bounds are rejected"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 numeric rows with source and transformed values and need two complementary analytical views simultaneously — interval-based filtering and adjacent-row change detection — without making external API calls, predictions, or requiring live data. It is ideal for ETL auditing, data quality checks, and transformation validation workflows where you control the data and want cheap, fast, local computation for $0.01 USDC per call covering both reports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:52.963Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-interval-filter-adjacent-row-changes-5a7c57c0"}