{"uid":"cap_jBm8bQn5vsWiWiyly7Uox","slug":"numeric-precision-comparisons-equal-width-histogram-explicit-missing-84b6d58c","name":"Numeric Precision Comparisons — Equal-Width Histogram + Explicit Missing-Value Fill","description":"Numeric precision comparisons — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill 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-20-175?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_xXX-8WJ-USy-coQ0xYo6R","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":"Generates equal-width histogram distributions and fills missing values (zero/mean/median) for numeric source_value vs transformed_value comparison datasets of up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"I have 150 rows of source_value and transformed_value pairs across two dataset groups — can you generate equal-width histograms with 10 bins for the source_value field and fill any missing values using median imputation? I want 2 separate analytical reports back.","exampleUseCases":[{"title":"ETL pipeline numeric distribution audit","prompt":"I ran a data transformation on our sales figures and want to make sure the distribution wasn't distorted — here are 120 rows with source_value and transformed_value. Can you build equal-width histograms with 8 bins on the source_value field and fill any nulls with the mean so I can compare both reports side by side?"},{"title":"Missing-value imputation before reporting","prompt":"We have a dataset of 80 pricing records with some nulls in the transformed_value column — can you fill those missing entries using median imputation and then run an equal-width histogram with 5 bins on transformed_value so we can see the distribution after fill?"},{"title":"Dataset group comparison for QA","prompt":"I need to QA two dataset groups — group-a and group-b — for numeric precision. I've got 200 rows with source_value and transformed_value. Please generate equal-width histograms using 15 bins on the source_value field with zero fill for any missing values, and give me the 2 analytical reports."}],"resultDescription":"Returns 2 independent analytical reports: (1) an equal-width histogram with configurable bins showing the frequency distribution of the selected numeric field, and (2) a dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Reports cover up to 200 input rows grouped by dataset_group and date.","failureModes":["Input array exceeds 200 rows — request rejected","Invalid date format (not YYYY-MM-DD) causes row validation failure","bins value outside 1–30 range causes schema rejection","source_value or transformed_value outside ±1,000,000,000,000 rejected","Empty rows array returns error","Unknown fill method enum value rejected"],"whenToPreferThis":"Use this endpoint when you need to quickly analyze and compare the numeric distribution of original vs transformed values in a small-to-medium dataset (up to 200 rows), especially when missing values need imputation before histogramming. Prefer this over general-purpose statistical tools when you want two bundled reports (histogram + filled data) in a single API call at low cost ($0.01 USDC). Best suited for ETL QA, data auditing, and numeric precision validation workflows — not for large-scale datasets, predictive modeling, or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:30.350Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-equal-width-histogram-explicit-missing-84b6d58c"}