{"uid":"cap_ZVDETFlTdJOEGZYGfgQKq","slug":"numeric-precision-comparisons-grouped-summary-row-ordering-analytics-5b8992ca","name":"Numeric Precision Comparisons — Grouped Summary & Row Ordering Analytics","description":"Numeric precision comparisons — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + Numeric row ordering 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-20-087?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_q2ScTAlEeZ45HL3WI-V5G","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 — a grouped numeric summary and a numeric row ordering — for up to 200 rows of source/transformed value pairs, enabling precision comparison analysis.","exampleAgentPrompt":"I have 4 rows of source and transformed numeric values across two groups — can you give me a grouped numeric summary and a row ordering ranked by source_value? The rows are: row-1 on 2026-10-01 in group-a with source 10 and transformed 1, row-2 on 2026-10-02 in group-b with source 20 and transformed 2, row-3 on 2026-10-03 in group-a with source 15 and transformed 3, row-4 on 2026-10-04 in group-b with source 30 and transformed 4.","exampleUseCases":[{"title":"ETL transformation accuracy audit","prompt":"I ran an ETL pipeline and I need to check how accurate the numeric transformations were — can you summarize the source vs transformed values grouped by dataset_group and rank the rows by source_value? Here are my 10 rows with their dates and group labels."},{"title":"Sales data group comparison","prompt":"I have sales figures before and after a pricing adjustment across two product groups. Can you group them and give me summary stats plus a ranking by transformed_value so I can see which rows changed most?"},{"title":"Sensor reading precision review","prompt":"I've got 50 sensor readings with raw and calibrated values across three measurement groups — can you give me a grouped numeric summary and order the rows by calibrated (transformed) value to spot any outliers?"}],"resultDescription":"Returns two independent analytical reports computed locally from the supplied rows: (1) a grouped numeric summary with aggregate statistics (e.g. count, mean, min, max) per dataset_group for the chosen field, and (2) a numeric row ordering ranking all rows by the chosen field (source_value or transformed_value). No external lookups are performed.","failureModes":["Empty or missing rows array returns a validation error","More than 200 rows submitted exceeds the maximum and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null values in source_value or transformed_value may affect aggregation results","Invalid field enum value (not 'source_value' or 'transformed_value') causes rejection","Numeric values outside ±1,000,000,000,000 are rejected by schema validation","Payment of 0.01 USDC not provided results in 402 Payment Required error"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical summarization and ranking of numeric comparison data (source vs transformed values) without any external API calls or ML inference. It is best suited for data quality audits, ETL validation, and exploratory numeric analysis on small-to-medium datasets (up to 200 rows). Prefer it over general-purpose analytics platforms when you need a lightweight, pay-per-call solution that returns two structured reports in a single request.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:42.547Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-grouped-summary-row-ordering-analytics-5b8992ca"}