{"uid":"cap_cwp5wyAcSXbCyli_k9iSZ","slug":"transaction-fee-observations-category-frequencies-date-by-category-6ec70193","name":"Transaction Fee Observations — Category Frequencies + Date by Category Pivot","description":"Transaction fee observations — Category frequencies + Date by category pivot: Category frequencies + 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-03-110?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"}}},"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_cpQVkydkFsDl4nctA_J2s","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":"Analyzes supplied transaction fee observation records by computing category frequencies and a date-by-category pivot table for a chosen numeric field (fee_units or transaction_count).","exampleAgentPrompt":"I have transaction fee records with instrument groups, dates, fee_units, and transaction counts — can you run two reports on them: one showing how frequently each category appears, and one pivoting fee_units by date and instrument group? Here are up to 200 rows of data.","exampleUseCases":[{"title":"Instrument group fee frequency audit","prompt":"I've got a batch of transaction fee records across different instrument groups and I want to know how frequently each group appears and how fee_units break down by date per group — can you run the category frequency and date pivot reports on my data?"},{"title":"Daily transaction count pivot by category","prompt":"Can you take my list of transaction observations (with dates, instrument groups, and transaction_count values) and give me both a category frequency table and a pivot of transaction_count by date and instrument group?"},{"title":"Fee unit trend breakdown across groups","prompt":"I need to analyze 150 rows of fee data — each row has a date, an instrument group, and fee_units. Please generate a frequency count per instrument group and a date-by-category pivot table using fee_units so I can spot trends."}],"resultDescription":"Two analytical reports derived from the supplied rows: (1) a category frequency table showing how often each instrument_group appears, and (2) a date-by-category pivot table cross-tabulating the chosen numeric field (fee_units or transaction_count) across dates and instrument groups. Up to 200 input rows supported. No external data sources are used.","failureModes":["Fewer than 1 row supplied — returns validation error","More than 200 rows supplied — rejected with max-items error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, instrument_group, date) — rejected","Invalid field enum value (not fee_units or transaction_count) — schema error","Null numeric values in fee_units or transaction_count may result in gaps in pivot output"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transaction fee observation records with instrument groups and dates and need both a category frequency breakdown and a date-by-category pivot table in a single low-cost call ($0.01 USDC). It is best suited for offline/batch analytical summarization of pre-collected fee data rather than live lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:23.137Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-category-frequencies-date-by-category-6ec70193"}