{"uid":"cap_HncI5dqvvBrLKXEFmPRKc","slug":"trading-journal-observations-string-normalisation-numeric-distribution-a24e6be3","name":"Trading Journal Observations — String Normalisation + Numeric Distribution","description":"Trading journal observations — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-09-022?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_l6RgGUVHmiF2zfLcWBJ6I","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":"Runs string normalisation and numeric distribution analysis on up to 200 trading journal rows (entry_price or exit_price), returning two local analytical reports per call.","exampleAgentPrompt":"Can you run a string normalisation and numeric distribution analysis on my trading journal entries? Here are 4 rows — row-1 on 2026-10-01, entry_price 10, exit_price 1, group-a; row-2 on 2026-10-02, entry_price 20, exit_price 2, group-b — analyze the entry_price field.","exampleUseCases":[{"title":"Entry price spread review","prompt":"I have 50 trades logged this quarter with entry and exit prices by instrument group. Can you run a numeric distribution and string normalisation report on the entry_price field for all of them so I can see how my entry points are distributed?"},{"title":"Exit price data quality check","prompt":"Run a string normalisation plus numeric distribution analysis on my trading journal for the exit_price column — I've got about 120 rows covering different instrument groups and dates, and I want two analytical reports back."},{"title":"Instrument group consistency audit","prompt":"I want to audit my trading journal for string consistency and see the numeric spread of entry prices. Can you process these 30 rows — with fields like row_id, date, instrument_group, entry_price, and exit_price — and give me both the normalisation and distribution reports?"}],"resultDescription":"Two local analytical reports per call: (1) a string normalisation report covering the text fields in the submitted trading journal rows, and (2) a numeric distribution report for the selected price field (entry_price or exit_price), covering statistical spread across up to 200 rows. No external data is fetched or predicted.","failureModes":["Missing required fields (row_id, instrument_group, date, entry_price, exit_price) causes validation error","Submitting more than 200 rows triggers maxItems constraint rejection","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array (minItems:1 violation) returns error","Invalid field selector (not 'entry_price' or 'exit_price') causes enum rejection"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of trading journal data — specifically string normalisation and numeric distribution for entry or exit price fields — across up to 200 rows, without requiring live market data, prediction, or external lookups. Ideal for data quality checks, journal audits, and batch statistical summaries at very 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":"2026-10-28T12:41:42.031Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-string-normalisation-numeric-distribution-a24e6be3"}