{"uid":"cap_xlRXV8JxYNGaKgv8g_qik","slug":"transaction-fee-observations-numeric-row-ordering-base-100-series-2fe73ae5","name":"Transaction Fee Observations — Numeric Row Ordering + Base-100 Series","description":"Transaction fee observations — Numeric row ordering + Base-100 series: Numeric row ordering + 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-03-117?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_3AhmrJsZo1LyoUiqZLiC7","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":"Applies numeric row ordering and a base-100 index series to up to 200 transaction fee observation records, producing two analytical reports on fee_units or transaction_count data.","exampleAgentPrompt":"I have 4 transaction fee records — row-1 on 2026-10-01 with fee_units=10 and transaction_count=1, row-2 on 2026-10-02 with fee_units=20 and count=2, row-3 on 2026-10-03 with fee_units=15 and count=3, row-4 on 2026-10-04 with fee_units=30 and count=4 — can you rank them numerically and build a base-100 index series on fee_units starting from row 0?","exampleUseCases":[{"title":"Benchmarking fee growth over time","prompt":"I have monthly transaction fee data across two instrument groups for Q4 2026 — can you rank the rows by fee_units and build a base-100 index series starting from the first row so I can see how fees grew relative to that baseline?"},{"title":"Comparing transaction volumes across groups","prompt":"Here are 10 daily transaction records with instrument groups A and B — please rank them by transaction_count and generate a base-100 index series anchored to row 0 so I can compare volume growth across the dataset."},{"title":"Auditing fee anomalies via row ordering","prompt":"I need to identify which of my 50 transaction fee records rank highest and lowest by fee_units — can you apply numeric row ordering and a base-100 series to the fee_units field, starting from index 0, so I can spot outliers?"}],"resultDescription":"Two analytical reports: (1) a numeric row ordering that ranks each record by the selected field (fee_units or transaction_count), and (2) a base-100 index series anchored at the specified base_index row, both computed locally on the supplied dataset of up to 200 rows.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","base_index out of range 0–199 or exceeding row count — validation error","fee_units or transaction_count values outside ±1,000,000,000,000 — schema rejection","Missing required fields (row_id, date, instrument_group) — validation failure","Malformed date string not matching YYYY-MM-DD pattern — schema error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transaction fee observation records and need both numeric row ordering and a base-100 indexed series in a single $0.01 call. It is ideal for offline/batch analytical workflows where no live market data, predictions, or external lookups are needed — just deterministic ranking and indexing of supplied fee or transaction count data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:21.789Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-numeric-row-ordering-base-100-series-2fe73ae5"}