{"uid":"cap_263Wqy9xctCVlytPwwl8n","slug":"numeric-precision-comparisons-interval-filter-equal-width-histogram-77f32e4c","name":"Numeric Precision Comparisons — Interval Filter + Equal-Width Histogram","description":"Numeric precision comparisons — Numeric interval filter + Equal-width histogram: Numeric interval filter + 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-20-129?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"},"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_BQWhoXQMNwBscaJcKdiQw","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":"Runs two local analytical reports on numeric precision comparison data: a numeric interval filter and an equal-width histogram, for up to 200 rows of source_value/transformed_value pairs.","exampleAgentPrompt":"I have 150 rows of numeric precision comparison data with source_value and transformed_value columns — can you filter to rows where source_value falls between 0 and 500, and also generate an equal-width histogram with 10 bins across the source_value field?","exampleUseCases":[{"title":"ETL transformation accuracy audit","prompt":"I ran an ETL pipeline and have 200 rows with original source_value and post-transform transformed_value. Can you filter the transformed_value column to only records between 50 and 950, and generate a 10-bin histogram so I can see how the transformation spread the values?"},{"title":"Sensor precision comparison distribution","prompt":"I've got 80 rows of sensor readings comparing raw and calibrated values by date and group. Run a 5-bin equal-width histogram on the source_value field and also filter to readings where source_value is between -100 and 100, so I can spot where most raw readings land."},{"title":"Price rounding error analysis","prompt":"We have 120 records comparing pre-rounding and post-rounding prices across two product groups. Can you filter for source_value between 10 and 200 and give me a histogram with 8 bins on source_value so I can see the distribution of original prices?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric interval filter listing rows where the selected field (source_value or transformed_value) falls within the specified minimum/maximum range, and (2) an equal-width histogram showing bin boundaries and row counts across the selected field divided into the specified number of bins. All computation is performed locally on the supplied data — no external lookups or predictions.","failureModes":["Rows array empty or missing required fields (row_id, date, source_value, transformed_value) causes validation error","More than 200 rows submitted exceeds limit","Bin count outside 1–30 range rejected","Minimum greater than maximum produces empty interval filter result","Null values in selected field may be excluded from histogram computation","Invalid date format (not YYYY-MM-DD) causes schema rejection"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical views — interval filtering and histogram distribution — on numeric precision comparison data (source vs transformed values) in a single cheap call. Ideal when you have up to 200 rows and want to audit data transformations, check value distributions, or identify records within a numeric range without needing external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:10.120Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-interval-filter-equal-width-histogram-77f32e4c"}