{"uid":"cap_rGUrtIEDqhQRrNFn_oK9r","slug":"transaction-fee-observations-base-100-series-date-by-category-pivot-41ccb811","name":"Transaction Fee Observations — Base-100 Series + Date-by-Category Pivot","description":"Transaction fee observations — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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-03-167?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_IhSmba3WVgWkyK6Z2oLQ3","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":"Generates two local analytical reports (Base-100 indexed series and date-by-category pivot table) from user-supplied transaction fee observation records, covering fee_units or transaction_count metrics.","exampleAgentPrompt":"I have transaction fee data for two instrument groups over four days — group-a had fee_units of 10, 15 and group-b had 20, 30 on dates 2026-10-01 through 2026-10-04, with transaction counts 1, 3 and 2, 4 respectively. Can you run the Base-100 series and date-by-category pivot on the fee_units field, starting the index at row 0?","exampleUseCases":[{"title":"Benchmarking fee trends across instrument groups","prompt":"I have monthly transaction fee data for three instrument groups over the past year — can you index the fee_units to a Base-100 series starting from the first row and also pivot them by date and category so I can see which groups are growing fastest?"},{"title":"Comparing transaction volumes by category","prompt":"Here's my transaction count data across instrument groups A, B, and C for the last quarter — please run both the Base-100 series and a date-by-category pivot on transaction_count, starting the index at row 0, so I can compare volume trends side by side."},{"title":"Normalizing fee observations for a financial report","prompt":"I need to normalize these 50 rows of daily fee_units observations across our settlement and clearing instrument groups to a common Base-100 scale starting from row 5, and also produce a pivot table of fees by date and group for our monthly report."}],"resultDescription":"Returns two analytical reports computed locally from the supplied data: (1) a Base-100 indexed time series for the selected field (fee_units or transaction_count) anchored at the specified base_index row, showing relative change across dates and instrument groups; (2) a date-by-category pivot table cross-tabulating the selected metric by date and instrument_group. Supports up to 200 input rows.","failureModes":["More than 200 rows submitted — request will be rejected due to maxItems constraint","Missing required row fields (row_id, instrument_group, date, fee_units, transaction_count) — validation error","Invalid date format (not YYYY-MM-DD pattern) — schema validation failure","base_index out of bounds (references a row that doesn't exist in the submitted data) — computation error","Numeric values outside allowed range (beyond ±1,000,000,000,000) — validation rejection","Empty rows array — minItems:1 constraint violated"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of transaction fee observation records with instrument_group and date dimensions, and need both a normalized Base-100 trend series and a date-by-category pivot computed from your own supplied data — no external data fetch or live market lookup needed. Prefer it over general analytics tools when you want a fixed-cost ($0.01 USDC), deterministic, offline computation that returns two reports in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:19.596Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-base-100-series-date-by-category-pivot-41ccb811"}