{"uid":"cap_Q8EiRm7E_Hp16yjZrY7Ln","slug":"numeric-precision-comparisons-equal-width-histogram-two-measure-0157c52a","name":"Numeric Precision Comparisons — Equal-Width Histogram + Two-Measure Correlation","description":"Numeric precision comparisons — Equal-width histogram + Two-measure correlation: Equal-width histogram + Two-measure correlation 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-20-171?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_WzIuSbyf0m2lrMYxniKBy","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 an equal-width histogram and a two-measure correlation analysis on supplied source_value vs transformed_value numeric pairs, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Run an equal-width histogram with 10 bins and a two-measure correlation analysis on my source_value vs transformed_value pairs — I have about 50 rows from group-a and group-b dated between 2026-10-01 and 2026-10-31, and I want both reports back in one call.","exampleUseCases":[{"title":"ETL pipeline numeric drift check","prompt":"I just ran a normalisation step on my sales figures and want to know if the transformed values still correlate tightly with the originals — can you run a histogram (5 bins) and correlation report on these 120 source/transformed pairs so I can see the distribution shift?"},{"title":"Data quality audit for finance team","prompt":"Our finance team needs a statistical sanity check on a currency-conversion output: please compute an equal-width histogram with 8 bins and the two-measure correlation between the original USD amounts and the converted EUR values for the 80 rows I'm supplying."},{"title":"ML feature engineering validation","prompt":"Before I train my model, I want to confirm that my log-transform of the 'revenue' column didn't distort the distribution too badly — run a 10-bin equal-width histogram and correlation analysis on the raw vs log-transformed values for my 200 training rows."}],"resultDescription":"Returns two independent analytical reports: (1) an equal-width histogram showing bin edges and counts for the selected field across up to 200 rows, and (2) a two-measure correlation report quantifying the linear relationship between source_value and transformed_value. No external data is fetched; all computation is performed locally on the supplied rows.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required row fields (row_id, source_value, transformed_value) — validation error","bins parameter outside 1–30 range — rejected","Non-numeric or null values in source_value/transformed_value may reduce effective sample size","Invalid date format (not YYYY-MM-DD) — schema validation failure"],"whenToPreferThis":"Choose this endpoint when you need fast, offline statistical analysis of paired numeric columns — specifically a distribution histogram plus a correlation coefficient — without any external data lookup or prediction. It is ideal for validating data transformations, auditing ETL outputs, or doing a quick quality check on numeric precision, especially when you have up to 200 pre-assembled rows and need both reports in a single $0.01 call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:31.602Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-equal-width-histogram-two-measure-0157c52a"}