{"uid":"cap_496EiONnYhDR07cOfmAAe","slug":"numeric-precision-comparisons-adjacent-row-changes-equal-width-2d8026b1","name":"Numeric Precision Comparisons — Adjacent Row Changes + Equal-Width Histogram","description":"Numeric precision comparisons — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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-20-156?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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"}}},"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_OLPRtUSr4Y_sIdShF6tmu","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 local analytical reports: adjacent row-to-row change detection and an equal-width histogram of value distributions.","exampleAgentPrompt":"I have 4 rows of source and transformed numeric pairs — (row-1, group-a, 2026-10-01, 10, 1), (row-2, group-b, 2026-10-02, 20, 2), (row-3, group-a, 2026-10-03, 15, 3), (row-4, group-b, 2026-10-04, 30, 4) — can you run adjacent row change detection and an equal-width histogram with 5 bins on the source_value field?","exampleUseCases":[{"title":"ETL pipeline transformation audit","prompt":"I've got 50 rows from our ETL pipeline with original and transformed numeric values per date — can you run adjacent row change detection and a 10-bin histogram on the source_value field so I can see where big shifts happen?"},{"title":"Sensor reading drift detection","prompt":"Here are 120 sequential sensor readings with both raw and calibrated values by date — analyze adjacent row changes and build a 5-bin equal-width histogram on the transformed_value field to spot any calibration drift."},{"title":"Financial data precision QA","prompt":"I need to QA our financial rounding logic — I have 200 rows of pre- and post-rounding numbers grouped by account type across dates. Run the adjacent row changes report and a 20-bin histogram on source_value so I can see where precision loss is concentrated."}],"resultDescription":"Two independent analytical reports: (1) an adjacent row changes report listing the delta between consecutive row values for the chosen field, and (2) an equal-width histogram report showing bin boundaries and row counts across up to 30 bins — all computed locally from the supplied data with no external lookups.","failureModes":["Row count exceeds 200 items — request rejected","Missing required row fields (row_id, dataset_group, date, source_value, transformed_value) — validation error","Date strings not matching YYYY-MM-DD pattern — schema validation failure","Numeric values outside ±1,000,000,000,000 range — rejected","bins parameter outside 1–30 range — validation error","Payment failure or insufficient USDC balance — transaction not processed"],"whenToPreferThis":"Choose this endpoint when you need both sequential change detection (row-to-row deltas) AND distribution analysis (histogram) on numeric source/transformed pairs in a single $0.01 call, without sending data to any external analytics platform. Ideal for data quality checks on ETL outputs, sensor data audits, or financial precision validation where privacy matters and you want local-only computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:28.865Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-adjacent-row-changes-equal-width-2d8026b1"}