{"uid":"cap_TjjDkXH4Tx8uvqxrK9qyP","slug":"transaction-fee-observations-two-measure-correlation-date-by-category-9b76b67c","name":"Transaction Fee Observations — Two-Measure Correlation + Date by Category Pivot","description":"Transaction fee observations — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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-03-182?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_zVKBZgvbHYeOfa_p3sZt5","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 uploaded transaction fee data: a Pearson/Spearman-style correlation between fee_units and transaction_count, and a date-by-instrument-group pivot table, for up to 200 rows at $0.01 USDC.","exampleAgentPrompt":"I have transaction fee observations for several instrument groups — can you run a correlation between fee_units and transaction_count, plus a pivot of fee_units by date and instrument group? Here are up to 200 rows with row_id, instrument_group, date, fee_units, and transaction_count fields.","exampleUseCases":[{"title":"Fee-volume correlation for crypto instruments","prompt":"I've got 150 rows of daily transaction fee observations across crypto instrument groups with fee_units and transaction_count columns — can you compute the correlation between those two measures and also pivot the fee_units by date and instrument group so I can see the breakdown?"},{"title":"DeFi protocol fee pattern analysis","prompt":"Here's my dataset of DeFi protocol fee records by date and group — run the two-measure correlation between fee_units and transaction_count, and give me the date-by-category pivot table so I can spot which groups drove fees on which days."},{"title":"Exchange fee audit by trading segment","prompt":"I need to audit fee data across our trading segments. I have 80 rows with date, instrument_group, fee_units, and transaction_count. Please correlate fee_units against transaction_count and pivot the fee_units values by date and instrument_group."}],"resultDescription":"Returns two analytical reports: (1) a two-measure correlation analysis showing the statistical relationship between fee_units and transaction_count across the supplied rows, and (2) a date-by-category pivot table breaking down the selected measure (fee_units or transaction_count) by date and instrument_group. Both reports are computed locally on the supplied data without external lookups.","failureModes":["Input rows array is empty or missing — validation error","Row count exceeds 200 — rejected with maxItems error","Date fields not in YYYY-MM-DD format — pattern validation failure","fee_units or transaction_count outside ±1,000,000,000,000 range — schema rejection","Missing required fields (row_id, instrument_group, date) — validation error","Payment of 0.01 USDC not completed via x402 protocol — 402 Payment Required","All fee_units or transaction_count values are null — correlation undefined/empty result"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of transaction fee observations with both fee_units and transaction_count and need two analyses in one call: a statistical correlation between those two measures AND a date-by-category pivot, all for a flat $0.01 USDC. It is ideal when data is already structured client-side and no live market data, predictions, or external lookups are needed — pure local computation on supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:54:18.767Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-two-measure-correlation-date-by-category-9b76b67c"}