{"uid":"cap_ffxWOhj4EoHuDFmaFAY2i","slug":"numeric-precision-comparisons-distribution-grouped-summary-analytics-4736f203","name":"Numeric Precision Comparisons — Distribution & Grouped Summary Analytics","description":"Numeric precision comparisons — Numeric distribution + Grouped numeric summary: Numeric distribution + Grouped numeric summary 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-20-071?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"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_BwKHGM2CAg4MV0x7lXzMJ","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 (numeric distribution and grouped numeric summary) for up to 200 rows of source/transformed numeric comparison data.","exampleAgentPrompt":"I have 150 rows of precision comparison data with source_value and transformed_value fields across two groups — can you run a numeric distribution report plus a grouped numeric summary on the source_value field for me?","exampleUseCases":[{"title":"ETL transformation validation audit","prompt":"I just ran a batch ETL job and want to check if the numeric values were transformed correctly — here are 200 rows with source_value and transformed_value across three pipeline groups. Give me a distribution and grouped summary on the transformed_value field so I can see if anything looks off."},{"title":"Precision loss analysis by dataset group","prompt":"I need to understand how much precision is being lost in my data conversion process. I have 80 records with original source_value and the rounded transformed_value, split across group-a and group-b. Can you give me a numeric distribution and grouped summary of the source_value so I can compare the spread?"},{"title":"QA report for numeric data pipeline","prompt":"Before we ship this dataset, can you generate a distribution report and a grouped numeric summary for these 120 rows of measurement data? The rows have a source_value and transformed_value and are labeled by dataset_group — I want to analyze the source_value field."}],"resultDescription":"Two analytical reports: (1) a numeric distribution breakdown showing spread, percentiles, and frequency characteristics of the selected field; and (2) a grouped numeric summary aggregating statistics (count, mean, min, max, etc.) by dataset_group. Both reports are computed locally from the supplied rows without any external lookup.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, source_value, transformed_value) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Values outside ±1,000,000,000,000 are rejected by schema","Empty rows array returns an error","Invalid field enum value (not 'source_value' or 'transformed_value') causes rejection","Payment of 0.01 USDC not completed — endpoint returns 402"],"whenToPreferThis":"Choose this endpoint when you need both a numeric distribution profile and a grouped aggregate summary from a single batch of precision comparison records (source vs. transformed values) in one low-cost call. Ideal for ETL validation, data quality checks, and transformation audits where you already have the data locally and need two complementary analytical views without external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:33.476Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-distribution-grouped-summary-analytics-4736f203"}