{"uid":"cap_vgTC2Wy-PRjutGgB2YjFH","slug":"trading-journal-observations-record-quality-audit-numeric-distribution-1affb51e","name":"Trading Journal Observations — Record Quality Audit + Numeric Distribution","description":"Trading journal observations — Record quality audit + Numeric distribution: Record quality audit + 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-09-004?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_ELYY1auXnQaRYDgAja9oP","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":"Audits data quality and computes numeric distribution statistics for trading journal entry_price and exit_price fields across up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and numeric distribution report on these 50 trading journal rows I have — checking the entry_price field — across instruments like AAPL and BTC? I need to know if any records are missing or malformed and how the prices are distributed.","exampleUseCases":[{"title":"Pre-backtest data validation","prompt":"Before I run my backtest, can you audit these 120 trading journal records for data quality issues and give me a numeric distribution of the entry_price field? I want to catch any nulls, outliers, or bad rows in my equity and futures trades."},{"title":"Exit price distribution review","prompt":"I have 80 trade journal rows across three instrument groups — can you generate a record quality audit and numeric distribution specifically for exit_price so I can see how my closing prices are spread out and flag any data problems?"},{"title":"Daily trade log integrity check","prompt":"Here are today's 30 trading journal entries with dates, row IDs, instrument groups, and both entry and exit prices — please run the quality audit and numeric distribution on entry_price to make sure everything looks clean before I archive them."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying completeness, validity, and anomaly issues per row for the specified price field; and (2) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram bins) for the selected field (entry_price or exit_price) across the supplied rows. No external lookups or predictions are made — all analysis is performed locally on the submitted data.","failureModes":["Fewer than 1 row or more than 200 rows submitted — validation error","Missing required fields (row_id, instrument_group, date, entry_price, exit_price) on any row — schema rejection","Invalid date format not matching YYYY-MM-DD pattern — parse error","Field selector not one of 'entry_price' or 'exit_price' — enum validation failure","Price values outside allowed numeric range — schema rejection","Payment not included or insufficient — 402 payment required"],"whenToPreferThis":"Choose this endpoint when you need to quickly validate the integrity of trading journal records and understand the statistical distribution of price fields before further analysis or backtesting. It is ideal when you have up to 200 rows with entry/exit prices grouped by instrument and want two distinct reports (quality audit + distribution) in a single low-cost call. Prefer this over generic data profiling tools when your data is specifically structured as a trading journal with instrument groups and dated trade rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:56.928Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-record-quality-audit-numeric-distribution-1affb51e"}