{"uid":"cap_s8Ktc4J7maDRVVvG-POUt","slug":"trading-journal-observations-string-normalisation-grouped-numeric-c259c37b","name":"Trading Journal Observations — String Normalisation + Grouped Numeric Summary","description":"Trading journal observations — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-09-023?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_1do9lBmCajZOxkSk5pGdP","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 trading journal records by normalizing string fields and producing grouped numeric summaries for entry_price and exit_price across up to 200 rows.","exampleAgentPrompt":"Can you normalize the instrument group labels and give me a grouped numeric summary of entry_price for these 4 trades: row-1 on 2026-10-01 in group-a with entry 10 and exit 1, row-2 on 2026-10-02 in group-b with entry 20 and exit 2, row-3 on 2026-10-03 in group-a with entry 15 and exit 3, and row-4 on 2026-10-04 in group-b with entry 30 and exit 4?","exampleUseCases":[{"title":"Grouped P&L review by instrument category","prompt":"I have 50 trades from last quarter — can you normalize the instrument group names and give me a grouped numeric summary of exit_price broken down by each instrument group? Here are the rows with row IDs, dates, entry prices, and exit prices."},{"title":"Entry price distribution across asset classes","prompt":"Take these 120 trading journal records with row IDs, dates, entry prices, exit prices, and instrument groups, and produce a grouped numeric summary of entry_price so I can see how my average entries compare across different asset classes."},{"title":"String cleanup for trade log reporting","prompt":"My trading journal has messy instrument group labels — can you normalize the strings and give me a grouped numeric breakdown of both entry and exit prices for these 80 rows so I can use it in my monthly report?"}],"resultDescription":"Returns two analytical reports: (1) a string normalization report for the instrument group and related string fields, and (2) a grouped numeric summary of the selected price field (entry_price or exit_price) organized by instrument_group, including statistics such as counts, means, and distributions per group. Both reports are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, instrument_group, date, entry_price, exit_price) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside allowed range (-1e12 to 1e12) are rejected","Empty rows array returns an error","Invalid field enum value (not entry_price or exit_price) causes failure"],"whenToPreferThis":"Choose this endpoint when you need offline, deterministic string normalization and grouped numeric summarization of trading journal data (entry/exit prices by instrument group) for up to 200 rows, without needing live market data, predictions, or external API calls. Ideal for post-trade batch reporting, journal cleanup, and per-group statistical summaries at low cost ($0.01 USDC for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:37.171Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-string-normalisation-grouped-numeric-c259c37b"}