{"uid":"cap_imokwmdotCpbsBeMzDwSk","slug":"transaction-fee-observations-numeric-distribution-two-measure-710f39da","name":"Transaction Fee Observations — Numeric Distribution + Two-Measure Correlation","description":"Transaction fee observations — Numeric distribution + Two-measure correlation: Numeric distribution + Two-measure correlation for supplied transaction fee observations records (fee_units, transaction_count). 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-finance-03-081?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","fee_units","transaction_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"fee_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80},"transaction_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","fee_units":10,"instrument_group":"group-a","transaction_count":1},{"date":"2026-10-02","row_id":"row-2","fee_units":20,"instrument_group":"group-b","transaction_count":2},{"date":"2026-10-03","row_id":"row-3","fee_units":15,"instrument_group":"group-a","transaction_count":3},{"date":"2026-10-04","row_id":"row-4","fee_units":30,"instrument_group":"group-b","transaction_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["fee_units","transaction_count"],"type":"string","default":"fee_units"}}},"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__HxAzz5iJ4KGMIqpnPs70","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":"Computes a numeric distribution report and a two-measure correlation analysis for user-supplied transaction fee observation records (fee_units vs transaction_count).","exampleAgentPrompt":"Analyze these transaction fee records — up to 200 rows with fee_units and transaction_count — and give me both a numeric distribution of fee_units and a correlation report between fee_units and transaction_count across my instrument groups.","exampleUseCases":[{"title":"Fee distribution audit for trading desk","prompt":"I have 150 rows of daily transaction fee data for two instrument groups with fee_units and transaction_count columns. Can you run a numeric distribution on fee_units and also check how fee_units correlates with transaction_count?"},{"title":"Correlation check for crypto bridge fees","prompt":"Here are my bridge transfer fee observations — each row has a date, instrument group, fee_units, and transaction_count. Run a distribution report on fee_units and tell me whether higher fees correlate with higher transaction counts."},{"title":"Monthly fee analytics for settlement team","prompt":"I want to understand the shape of our transaction fees this month. I have 200 rows with fee_units and transaction_count per instrument group — can you compute the numeric distribution of fee_units and give me the two-measure correlation between fee_units and transaction_count?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary for the selected field (fee_units or transaction_count) including statistics such as min, max, mean, median, and percentiles; and (2) a two-measure correlation analysis between fee_units and transaction_count across the supplied rows. Both reports are generated locally from the provided data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — rejected with validation error","Missing required fields (row_id, fee_units, transaction_count, date, instrument_group) in any row — schema validation failure","Non-numeric values in fee_units or transaction_count fields — type error","Date strings not matching YYYY-MM-DD pattern — pattern validation failure","Insufficient variance in data for meaningful correlation computation — may return null or degenerate correlation result","Payment of 0.01 USDC not confirmed — request rejected by x402 payment gate"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of transaction fee observation data and need both a distribution summary and a correlation between fee_units and transaction_count in a single low-cost call ($0.01 USDC). It is ideal for offline, supplied-data analytics requiring no live market data, predictions, or external enrichment. Prefer it over general-purpose stats tools when you want a packaged two-report bundle for financial fee data with instrument group context.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:18.655Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-numeric-distribution-two-measure-710f39da"}