{"uid":"cap_-ZVbUxaA9y5H_dOMyjo1o","slug":"numeric-precision-comparisons-category-frequencies-keyed-dataset-e06c4a64","name":"Numeric Precision Comparisons — Category Frequencies + Keyed Dataset Comparison","description":"Numeric precision comparisons — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison 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-20-111?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"transformed_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_value":10,"dataset_group":"group-a","transformed_value":1},{"date":"2026-10-02","row_id":"row-2","source_value":20,"dataset_group":"group-b","transformed_value":2},{"date":"2026-10-03","row_id":"row-3","source_value":15,"dataset_group":"group-a","transformed_value":3},{"date":"2026-10-04","row_id":"row-4","source_value":30,"dataset_group":"group-b","transformed_value":4}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_value","transformed_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"dataset_group":"group-b","transformed_value":2},{"date":"2026-10-03","row_id":"row-3","source_value":17,"dataset_group":"group-a","transformed_value":3},{"date":"2026-10-04","row_id":"row-4","source_value":33,"dataset_group":"group-b","transformed_value":4}],"maxItems":200,"minItems":0}}},"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_Wb16eVyfCBjPa57a2GQVQ","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: category frequency counts per dataset group, and a keyed row-by-row comparison between two supplied datasets.","exampleAgentPrompt":"I have two sets of numeric records — each with a row_id, dataset_group, date, source_value, and transformed_value — and I want to compare them row by row and also see how frequently each category appears. Can you run both the category frequency report and the keyed dataset comparison on my two datasets of up to 200 rows each?","exampleUseCases":[{"title":"ETL pipeline numeric audit","prompt":"I ran an ETL job that transformed sales figures and I want to verify the outputs. Here are two datasets of up to 150 rows each with the original and transformed values tagged by group and date — can you run a category frequency breakdown and a keyed row comparison so I can spot any discrepancies?"},{"title":"A/B test value distribution check","prompt":"I have two groups of experiment results — group-a and group-b — with source and transformed numeric values for each row. Please give me the category frequency counts for each group and compare the two datasets row by row by their keys so I can see where the values diverged."},{"title":"Data migration transformation validation","prompt":"We migrated data from one system to another and I need to validate the numeric precision. I have the before and after values in two datasets tagged by row_id, dataset_group, and date — can you produce a frequency report by category and a keyed comparison of both datasets to flag any mismatches?"}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency report showing how many rows appear in each dataset_group, and (2) a keyed dataset comparison that aligns rows from the two supplied datasets by row_id and computes differences between source_value and transformed_value pairs. All analysis is performed locally on the supplied data with no external lookups.","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","Date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 range fail schema validation","Empty rows array (minItems:1 violated) returns an error","Mismatched row_ids between the two datasets may result in unmatched rows in the comparison report"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously analyze category/group frequency distributions AND compare two keyed numeric datasets in a single paid call. It is ideal for data pipeline auditing, ETL validation, and A/B numeric comparisons where you have up to 200 rows and both datasets share the same schema. It operates entirely on supplied data — prefer alternatives if you need live data lookups, predictive modeling, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:55.167Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-category-frequencies-keyed-dataset-e06c4a64"}