{"uid":"cap_H80nuvhIJ-NN_0_9DFu0l","slug":"trading-journal-observations-string-normalisation-numeric-row-ordering-cfa90136","name":"Trading Journal Observations — String Normalisation + Numeric Row Ordering","description":"Trading journal observations — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied trading journal observations records (entry_price, exit_price). 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-09-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","entry_price","exit_price"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"exit_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"entry_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","exit_price":1,"entry_price":10,"instrument_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","exit_price":2,"entry_price":20,"instrument_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","exit_price":3,"entry_price":15,"instrument_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","exit_price":4,"entry_price":30,"instrument_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["entry_price","exit_price"],"type":"string","default":"entry_price"}}},"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__8v28PiJPc4wiD8KVHaqq","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":"Normalises string fields and orders rows numerically for up to 200 trading journal observation records (entry_price, exit_price), producing 2 analytical reports per call.","exampleAgentPrompt":"Normalise the string fields and sort my trading journal rows numerically by entry_price — I have 4 trades: row-1 on 2026-10-01 in group-a with entry 10 exit 1, row-2 on 2026-10-02 in group-b with entry 20 exit 2, row-3 on 2026-10-03 in group-a with entry 15 exit 3, row-4 on 2026-10-04 in group-b with entry 30 exit 4. Give me both analytical reports.","exampleUseCases":[{"title":"Rank trades by entry price","prompt":"I have 50 trading journal rows with entry and exit prices across different instrument groups — can you normalise the string fields and order them numerically by entry_price so I can see which trades opened at the highest levels?"},{"title":"Clean exit price data for review","prompt":"Sort and normalise my 12 trade records by exit_price — the rows span October 2026 across equity and fx groups, and I want the two summary reports so I can review the cleaned data before importing it."},{"title":"Prepare multi-group trade log","prompt":"I've got 80 trading journal observations across three instrument groups from 2026 — please normalise all the string fields and rank the rows numerically by entry_price, and return both analytical reports."}],"resultDescription":"Two structured analytical reports covering (1) string-normalised instrument_group and date fields and (2) rows ordered numerically by the selected price field (entry_price or exit_price), applied to the supplied batch of up to 200 trading journal records. No external data is fetched; all computation is local.","failureModes":["Batch exceeds 200 rows — rejected with validation error","Missing required field (row_id, instrument_group, date, entry_price, or exit_price) — schema validation failure","Date field not matching YYYY-MM-DD pattern — pattern validation error","Price value outside ±1,000,000,000,000 range — range validation error","Invalid field enum value (not entry_price or exit_price) — enum validation error","Payment not attached or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and numeric row ordering applied together to trading journal data (entry_price/exit_price) in a single call returning two reports, without any live market lookup or external data dependency. It is suited for small-to-medium batches (up to 200 rows) where local, deterministic computation is preferred over a live analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:22.887Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-string-normalisation-numeric-row-ordering-cfa90136"}