{"uid":"cap_iZaHZWIGvvuWGTSldZRuS","slug":"transaction-fee-observations-daily-sum-series-base-100-series-34bd859d","name":"Transaction Fee Observations — Daily Sum Series + Base-100 Series","description":"Transaction fee observations — Daily sum series + Base-100 series: Daily sum 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-03-138?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"},"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_nfdijOw3rN08YQzOjrwop","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 daily sum time series and Base-100 index series for user-supplied transaction fee observation records, returning two analytical reports.","exampleAgentPrompt":"Can you generate both a daily sum series and a Base-100 index (rebased at row 0) for my transaction fee data — I have records with date, fee_units, transaction_count, and instrument_group for about 50 rows — and I want to analyze the fee_units field?","exampleUseCases":[{"title":"Daily fee volume trend for crypto exchange","prompt":"I have 90 days of transaction fee records for my exchange, each with a date, instrument_group, fee_units, and transaction_count. Can you produce both a daily sum series and a Base-100 index rebased at row 0 for the fee_units field so I can see how fee volume trended over the quarter?"},{"title":"Normalized transaction count comparison across groups","prompt":"I've got fee observation data across two instrument groups over the past month — can you run both the daily sum series and Base-100 series on the transaction_count field, rebasing to row 0, so I can compare normalized activity levels between groups?"},{"title":"Fee revenue baseline analysis for reporting","prompt":"For our monthly finance report, I need to index our daily fee_units data to 100 at day 5 of the series and also get the raw daily sums — I have 60 rows of data with row_id, date, instrument_group, fee_units, and transaction_count ready to go."}],"resultDescription":"Two independent analytical reports: (1) a daily sum series aggregating the selected field (fee_units or transaction_count) by date, and (2) a Base-100 index series rebasing the selected field to 100 at the specified row index — both computed locally from the supplied records, up to 200 rows.","failureModes":["Missing required fields (row_id, date, fee_units, transaction_count, instrument_group) returns a validation error","Date values not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted exceeds the maxItems limit and is rejected","base_index out of range (>= number of rows) causes an indexing error","Null values in fee_units or transaction_count may affect sum/index calculations","Payment of 0.01 USDC not completed causes request to be rejected with 402"],"whenToPreferThis":"Choose this endpoint when you have pre-collected transaction fee observation records and need both a daily aggregated sum series and a normalized Base-100 trend index in a single paid call — without requiring an external data source, live lookup, or prediction. Ideal for finance analytics workflows where you supply your own rows (up to 200) and want two complementary time-series reports computed locally and returned immediately.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:25.607Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-daily-sum-series-base-100-series-34bd859d"}