{"uid":"cap_hqudeqVor_tv3ipzRvyYM","slug":"numeric-precision-comparisons-analytics-grouped-summary-category-abb4d20a","name":"Numeric Precision Comparisons Analytics — Grouped Summary & Category Frequencies","description":"Numeric precision comparisons — Grouped numeric summary + Category frequencies: Grouped numeric summary + Category frequencies 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-20-086?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_YQaN11pfNpkkKOxnbqLZb","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":"Runs two local analytical reports on supplied numeric precision comparison records: a grouped numeric summary and category frequency counts, for up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and category frequency report on my precision comparison data? I have 4 rows — row-1 in group-a on 2026-10-01 with source 10 and transformed 1, row-2 in group-b on 2026-10-02 with source 20 and transformed 2, row-3 in group-a on 2026-10-03 with source 15 and transformed 3, row-4 in group-b on 2026-10-04 with source 30 and transformed 4 — and I want to analyze the source_value field.","exampleUseCases":[{"title":"ETL pipeline transformation validation","prompt":"I ran an ETL job and want to check how my source vs transformed values look across pipeline stages — can you give me a grouped numeric summary and category frequency breakdown for these 50 records, grouped by pipeline_stage, analyzing the source_value field?"},{"title":"Data quality audit by department","prompt":"We have 120 rows of data quality records with source and transformed numeric values tagged by department group. Can you summarize them with grouped stats and show how frequently each department appears, using the transformed_value field as the focus?"},{"title":"A/B test numeric output comparison","prompt":"I'm comparing numeric model outputs for variant A and variant B across 80 test records — can you run a grouped numeric summary and category frequency report on these rows with dataset_group set to the variant name and source_value as the original model output and transformed_value as the adjusted output?"}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary showing descriptive statistics (e.g. count, min, max, mean) for the selected field broken down by dataset_group, and (2) category frequency counts showing how often each dataset_group appears across the supplied rows. Both reports are computed locally with no external lookups, covering up to 200 input rows.","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","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array (minItems: 1 violated) causes error","Invalid field enum value (not source_value or transformed_value) causes error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of numeric comparison records (with source and transformed value pairs tagged by group) and need both grouped descriptive statistics and category frequency counts in a single $0.01 call. It is ideal for lightweight, offline-style analytics on precision comparison or data transformation audit data without needing an external analytics platform or database query engine.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:08.115Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-analytics-grouped-summary-category-abb4d20a"}