{"uid":"cap_kFP9ioWAMFJyOZGtVF0nU","slug":"transaction-fee-observations-trailing-mean-series-base-100-series-16cf8912","name":"Transaction Fee Observations — Trailing Mean Series + Base-100 Series","description":"Transaction fee observations — Trailing mean series + Base-100 series: Trailing mean series + Base-100 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-03-147?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},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_i2hIoMKXz70kP3sw2Q__o","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 trailing mean time series and a Base-100 indexed series for supplied transaction fee or transaction count observations, returning two analytical reports from local engines.","exampleAgentPrompt":"Take my daily transaction fee records — I have 4 rows for group-a and group-b from Oct 1–4, 2026 with fee_units values of 10, 20, 15, 30 — and give me both a trailing mean series with a window of 2 and a Base-100 series anchored to the first row, calculated on fee_units.","exampleUseCases":[{"title":"Smoothing volatile fee spikes","prompt":"I have 60 days of daily transaction fee data across two instrument groups and the numbers are jumping around a lot — can you run a trailing mean with a window of 7 on the fee_units column so I can see the underlying trend?"},{"title":"Benchmarking fee growth from launch","prompt":"I want to see how our transaction fees have grown since day one — can you index my fee_units data to 100 at row 0 and give me the Base-100 series so I can see percentage growth over time?"},{"title":"Comparing transaction count smoothness","prompt":"I've got 120 rows of daily transaction counts split across several instrument groups — can you compute a trailing mean series with a window of 5 on the transaction_count field so I can compare how each group's volume evolves?"}],"resultDescription":"Two independent analytical reports: (1) a trailing mean series showing smoothed values of the selected field (fee_units or transaction_count) over the specified rolling window, and (2) a Base-100 indexed series anchored at the specified base row, expressing all subsequent values as an index relative to that baseline. Both reports are computed locally from the supplied data rows.","failureModes":["Fewer than 2 rows supplied (minItems:1 but trailing mean requires at least window-size rows to produce meaningful results)","window parameter exceeds number of supplied rows, yielding sparse or empty mean series","base_index out of range for number of supplied rows","Invalid date format (must match YYYY-MM-DD pattern)","fee_units or transaction_count contains null values that disrupt series calculation","More than 200 rows submitted, exceeding maxItems limit","Missing required fields row_id, instrument_group, date, fee_units, or transaction_count on any row"],"whenToPreferThis":"Choose this endpoint when you have already collected transaction fee or transaction count observations and need to produce two complementary analytical outputs — a smoothed trailing mean and a Base-100 growth index — from that supplied data without any external data lookup or live market data. It is ideal for offline or agent-side analysis pipelines where the raw fee records are already in hand and you want both a trend-smoothing view and a normalized growth view in a single $0.01 call covering up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:42.154Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-trailing-mean-series-base-100-series-16cf8912"}