{"uid":"cap_vnNeMcUiLDYkXYbxznzbv","slug":"transaction-fee-observations-numeric-distribution-numeric-interval-e5999d32","name":"Transaction Fee Observations — Numeric Distribution + Numeric Interval Filter","description":"Transaction fee observations — Numeric distribution + Numeric interval filter: Numeric distribution + Numeric interval filter 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-03-074?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_1b6HHAn7XP8tPBr5vYmBl","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 and an interval-filtered subset analysis on user-supplied transaction fee observation records (fee_units and transaction_count fields), returning up to 2 local analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a list of up to 200 transaction fee observations with fee_units and transaction_count per instrument group and date — can you run a numeric distribution report plus filter to only rows where fee_units falls between 5 and 50, analyzing the fee_units field?","exampleUseCases":[{"title":"Exchange fee distribution analysis","prompt":"I have 150 rows of daily exchange transaction records with fee_units and transaction_count — can you generate a numeric distribution of fee_units and then filter to only show records where fee_units is between 10 and 500?"},{"title":"Blockchain gas fee bucketing","prompt":"Here are my gas fee observations across instrument groups for the past quarter. Run me a distribution breakdown on the fee_units field and also give me just the rows where fee_units falls between 0 and 100."},{"title":"Payment processor fee range audit","prompt":"I need to audit our payment processor fees — I have 80 rows with fee_units and transaction_count by date and group. Can you compute the numeric distribution of transaction_count and filter it to the interval between 50 and 200?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution (histogram/frequency breakdown) of the chosen field (fee_units or transaction_count) across the supplied rows, and (2) a filtered subset of rows where the chosen field falls within the specified minimum–maximum interval. Up to 200 input rows are supported, all computed locally without external data access.","failureModes":["Rows array empty or missing — requires at least 1 row","More than 200 rows submitted — exceeds maximum item limit","Invalid date format (not YYYY-MM-DD) — schema validation failure","fee_units or transaction_count values outside ±1,000,000,000,000 — rejected by schema","Missing required row fields (row_id, instrument_group, date, fee_units, transaction_count) — validation error","minimum greater than maximum — may produce empty interval filter result","Payment of 0.01 USDC not completed — request blocked by x402 paywall"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 transaction fee observation records and need both a distributional breakdown and an interval-filtered view of either fee_units or transaction_count, without requiring any live data lookup or external enrichment. It is ideal for self-contained offline analytical passes on structured fee data where two report types are needed in a single call at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T06:47:24.557Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-numeric-distribution-numeric-interval-e5999d32"}