{"uid":"cap_JbMQJg5kxMNyjMH8K48Qu","slug":"transaction-fee-observations-category-frequencies-daily-sum-series-e022c25f","name":"Transaction Fee Observations — Category Frequencies + Daily Sum Series","description":"Transaction fee observations — Category frequencies + Daily sum series: Category frequencies + Daily sum series 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-03-102?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_dDKwGUfC0ptpWYrVgTWZd","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 supplied transaction fee observation records to produce two reports: category frequency distribution and daily sum time series, for up to 200 rows.","exampleAgentPrompt":"Can you run category frequency and daily sum series reports on these transaction fee records — I have 4 rows with instrument groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want the analysis on the fee_units field?","exampleUseCases":[{"title":"Fee distribution by instrument group","prompt":"I have 50 rows of transaction fee observations with instrument groups like 'equities' and 'derivatives', dates from 2025-01-01 to 2025-02-19, and fee_units values. Can you give me the category frequency breakdown and a daily sum series for fee_units?"},{"title":"Daily transaction count trends","prompt":"Analyze these 120 transaction fee records for me — I want to see how transaction_count totals up each day and how often each instrument_group appears. Dates run from 2024-06-01 to 2024-09-30."},{"title":"Cross-group fee audit","prompt":"Run category frequencies and a daily sum series on my 80 fee observation rows. The instrument groups are 'FX', 'Rates', and 'Commodities', and I want the reports based on the fee_units field covering Q1 2025."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each instrument_group value appears in the supplied rows, and (2) a daily sum time series aggregating the selected numeric field (fee_units or transaction_count) by date. Both reports are computed locally from the supplied data, with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern cause parse failures","Null values in the selected numeric field (fee_units or transaction_count) may produce incomplete sums","Payment of 0.01 USDC not settled correctly results in authorization failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of transaction fee observation data and need both a categorical frequency breakdown by instrument group and a daily sum time series for a numeric field in a single low-cost call. It is ideal for quick batch analytics on already-collected fee data without needing live market data, external APIs, or prediction services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:30.743Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-category-frequencies-daily-sum-series-e022c25f"}