{"uid":"cap_mpBgQ2IFGI7LpyswMEzg3","slug":"numeric-precision-comparisons-distribution-row-ordering-analytics-e629cecb","name":"Numeric Precision Comparisons — Distribution & Row Ordering Analytics","description":"Numeric precision comparisons — Numeric distribution + Numeric row ordering: Numeric distribution + 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-20-073?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_Oj_3TC8LtDnrrPeYw9fkV","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 source/transformed numeric pairs, producing two local analytical reports: numeric distribution statistics and row ordering analysis.","exampleAgentPrompt":"Can you run a numeric distribution and row ordering analysis on these 50 records — each has a row_id, dataset_group, date, source_value, and transformed_value — and analyze the source_value field?","exampleUseCases":[{"title":"ETL transformation validation","prompt":"I've run a data pipeline that transforms raw revenue figures, and I want to check whether the transformation preserved the ordering and distribution of the original values. Here are 120 rows with row IDs, dataset groups, dates, source values, and transformed values — can you analyze the source_value field and give me distribution and ordering reports?"},{"title":"Financial metric spread analysis","prompt":"I have 80 rows of daily asset price data across two groups with both original and adjusted values. Can you analyze the distribution and row ordering of the transformed_value field so I can see how spread out the adjusted prices are and whether they follow the same sequence as the originals?"},{"title":"Dataset group comparison before normalization","prompt":"Before I normalize my dataset I want to understand the numeric distribution and ordering of the source_value column. Here are 150 rows split across group-a and group-b with dates and row IDs — can you give me the two analytical reports?"}],"resultDescription":"Returns two independent analytical reports computed locally: (1) a numeric distribution report covering spread, frequency, and distributional characteristics of the selected field; and (2) a row ordering report showing how rows rank numerically. Both reports cover up to 200 supplied rows across any dataset groups and dates provided.","failureModes":["Missing required fields (row_id, dataset_group, date, source_value, transformed_value) cause validation errors","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Date values not matching YYYY-MM-DD pattern fail schema validation","Numeric values outside ±1,000,000,000,000 range are rejected","Payment of 0.01 USDC not completed results in 402 response","Empty rows array (minItems: 1 not met) returns an error"],"whenToPreferThis":"Choose this endpoint when you need fast, local (no external lookup) statistical analysis of numeric source-vs-transformed record pairs — specifically distribution characterization and row ordering — on datasets up to 200 rows. It is ideal for validating ETL transformations, auditing numeric data quality, or understanding value spread within grouped time-series data. Prefer it over heavier analytics platforms when the dataset is small, cost matters ($0.01 per call), and no live data or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:32.110Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-distribution-row-ordering-analytics-e629cecb"}