{"uid":"cap_nvDEG3LIfdEJwPQHgI7ax","slug":"numeric-precision-comparisons-category-frequencies-equal-width-86782e68","name":"Numeric Precision Comparisons — Category Frequencies & Equal-Width Histogram","description":"Numeric precision comparisons — Category frequencies + Equal-width histogram: Category frequencies + 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-20-106?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_Tdj7qyQ_HZcdk4CRjTdh7","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 two local analytical reports (category frequency breakdown and equal-width histogram) for supplied numeric precision comparison records containing source and transformed values.","exampleAgentPrompt":"Can you run a category frequency breakdown and a 10-bin equal-width histogram on my numeric precision comparison data? I have source_value and transformed_value pairs for up to 50 rows across two dataset groups, and I want to analyze the source_value field.","exampleUseCases":[{"title":"ETL pipeline precision validation","prompt":"I ran an ETL transform on my pricing data and I want to see how the source_value and transformed_value differ — can you generate category frequencies and a 10-bin histogram for these 80 rows so I can spot where the precision shifted?"},{"title":"Data quality audit by group","prompt":"I have 120 rows of numeric measurements split across three dataset groups with source and transformed readings. Can you give me the category frequency breakdown and a 5-bin equal-width histogram so I can audit data quality per group?"},{"title":"Scientific measurement transformation analysis","prompt":"We applied a unit conversion to 200 sensor readings and stored them as source_value and transformed_value. Run both the category frequencies and an equal-width histogram with 15 bins on the transformed_value field so I can see how the converted readings are distributed."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency report showing how often values fall into each category or group, and (2) an equal-width histogram report dividing the selected numeric field (source_value or transformed_value) into the specified number of bins (1–30, default 5) with counts per bin — all computed locally without external lookups or predictions, for up to 200 supplied rows.","failureModes":["Exceeding 200 rows returns a validation error","Invalid bin count outside 1–30 range is rejected","Rows missing required fields (row_id, dataset_group, date, source_value, transformed_value) fail schema validation","Malformed date strings not matching YYYY-MM-DD pattern cause rejection","Values outside ±1,000,000,000,000 range fail validation","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have a moderate dataset (up to 200 rows) of numeric source-vs-transformed value pairs and need both a categorical frequency summary and a histogram distribution report in a single API call for $0.01 USDC. Prefer this over general-purpose analytics when you specifically need equal-width binning and category frequency analysis computed locally without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:24.295Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-category-frequencies-equal-width-86782e68"}