{"uid":"cap_CG8Su-uh2zPZkr3RlS_j0","slug":"numeric-precision-comparisons-row-ordering-equal-width-histogram-fcdc4f2d","name":"Numeric Precision Comparisons — Row Ordering + Equal-Width Histogram","description":"Numeric precision comparisons — Numeric row ordering + Equal-width histogram: Numeric row ordering + 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-20-118?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_TbWtddQkRWSgQfYsROHLF","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 numeric source/transformed value pairs, producing two reports: sorted row ordering and an equal-width histogram with configurable bins.","exampleAgentPrompt":"I have 4 rows of source and transformed numeric values — row-1 (group-a, 2026-10-01): source 10, transformed 1; row-2 (group-b, 2026-10-02): source 20, transformed 2; row-3 (group-a, 2026-10-03): source 15, transformed 3; row-4 (group-b, 2026-10-04): source 30, transformed 4. Can you rank these rows by source_value and give me an equal-width histogram with 5 bins?","exampleUseCases":[{"title":"ETL transformation accuracy audit","prompt":"I have 50 rows from our ETL pipeline with original source_value and transformed_value columns. Can you sort them by source_value and produce a 10-bin equal-width histogram so I can see if the transformation skewed the distribution?"},{"title":"Sales data distribution check","prompt":"Here are 120 sales records with a raw revenue figure (source_value) and a normalized figure (transformed_value) for each row, all from October 2026. Rank them by transformed_value and give me a 5-bin histogram of the distribution."},{"title":"ML feature scaling review","prompt":"I've got 80 rows where source_value is the raw feature and transformed_value is after min-max scaling. Can you order the rows by source_value and show me an equal-width histogram with 8 bins so I can validate the scaling didn't collapse the spread?"}],"resultDescription":"Returns two independent analytical reports: (1) rows sorted by the selected numeric field (source_value or transformed_value) showing row ordering/ranking; (2) an equal-width histogram dividing the selected field's value range into the specified number of bins (1–30) with row counts per bin. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) causes validation error","bins value outside 1–30 range causes schema rejection","source_value or transformed_value outside ±1,000,000,000,000 causes validation error","Empty rows array causes error","Missing required fields (row_id, dataset_group, date) causes schema validation failure","All null values in selected field makes histogram/ordering undefined"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous numeric analytics reports — row ordering and a histogram — on up to 200 rows of paired source/transformed numeric data, all from supplied data without any external API calls or predictions. Ideal for ETL validation, data transformation auditing, or exploratory distribution analysis where you want both ranking and bucketed frequency views in one $0.01 call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:51.748Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-row-ordering-equal-width-histogram-fcdc4f2d"}