{"uid":"cap_9ccNQa_hhD6ZReDntxmmH","slug":"transaction-fee-observations-numeric-interval-filter-trailing-mean-227efb7d","name":"Transaction Fee Observations — Numeric Interval Filter + Trailing Mean Series","description":"Transaction fee observations — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean 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-03-126?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2},"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_V_xDzNP5wxEWj5_l8I00t","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":"Filters transaction fee observation rows by a numeric interval and computes a trailing mean series, returning two analytical reports for up to 200 rows of fee data.","exampleAgentPrompt":"I have daily transaction fee observations for two instrument groups — take the rows where fee_units falls between 10 and 50, then compute a trailing mean with a window of 3 over the fee_units field, and give me both the filtered report and the rolling average series.","exampleUseCases":[{"title":"Rolling fee average for exchange data","prompt":"I've got 90 rows of daily exchange transaction fee data with fee_units and transaction_count. Can you filter to only rows where fee_units is between 5 and 200, then compute a trailing mean with a window of 7 over fee_units? I want both the interval-filtered list and the rolling mean series."},{"title":"Outlier-bounded trailing mean for fee audit","prompt":"I'm auditing transaction fees across instrument groups and want to exclude extreme values — keep only rows where fee_units is between 0 and 500, then run a 5-period trailing mean on fee_units. Send me the two reports based on my 150 observation rows."},{"title":"Transaction count smoothing for reporting","prompt":"For my weekly finance report, take these 60 transaction fee records and filter transaction_count to values between 1 and 100, then compute a trailing mean series with a window of 4 over transaction_count. I need both the filtered rows and the mean series."}],"resultDescription":"Returns two analytical reports: (1) the subset of input rows where the selected field (fee_units or transaction_count) falls within the specified [minimum, maximum] interval, and (2) a trailing mean series computed over the selected field using the specified rolling window size — both derived from the supplied transaction fee observation records without any external data lookup.","failureModes":["Fewer than 1 row supplied — rejected by minItems constraint","More than 200 rows supplied — rejected by maxItems constraint","Window size larger than number of rows — trailing mean series may be empty or partial","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 bounds","Missing required fields (row_id, date, instrument_group) — schema validation error","Payment failure — 402 response if USDC payment is not completed"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transaction fee observation records and need both a numeric interval filter (to bound fee_units or transaction_count between a min and max) and a trailing/rolling mean series in a single paid call. It is well-suited for lightweight, offline statistical analysis of fee data without needing a full analytics platform. Prefer it over general-purpose data tools when you want two bundled reports (filter + rolling mean) at low cost ($0.01 USDC) and your data fits the schema (fee_units, transaction_count, date, instrument_group).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:40.794Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-numeric-interval-filter-trailing-mean-227efb7d"}