{"uid":"cap_ZH3Kq7kXJRkADA2rWCABo","slug":"trading-journal-observations-record-quality-audit-string-c3a58fa6","name":"Trading Journal Observations — Record Quality Audit + String Normalisation + Two-Measure Correlation","description":"Trading journal observations — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied trading journal observations records (entry_price, exit_price). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-finance-09-204?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}}},"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_p5EhFwj2d14X0Hpu-JmCn","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 three local analytical reports on trading journal rows (entry_price, exit_price): a record quality audit, string normalisation, and two-measure correlation — no external lookups or predictions.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and entry-vs-exit price correlation on my trading journal? Here are up to 200 rows with row IDs, instrument groups, dates, entry prices, and exit prices — I want all three reports back in one shot.","exampleUseCases":[{"title":"Pre-analysis trade data quality check","prompt":"Before I run my monthly performance analysis, can you audit my trading journal for record quality issues, normalise the instrument group labels, and check the correlation between entry and exit prices? I have about 150 rows with row IDs, instrument groups, dates, entry prices, and exit prices."},{"title":"Identifying dirty data in trade logs","prompt":"I suspect my trading journal has some missing or malformed values — can you run a quality audit and string normalisation pass over these 80 trade records (row_id, instrument_group, date, entry_price, exit_price) and also tell me how correlated the entry and exit prices are?"},{"title":"Correlation check for strategy review","prompt":"I'm reviewing a set of 60 trades from last quarter and want to know how strongly entry price and exit price correlate across my instrument groups — can you also flag any data quality issues and clean up the instrument group strings while you're at it?"}],"resultDescription":"Three independent analytical reports for the submitted trading journal rows: (1) a record quality audit flagging missing, null, or malformed field values; (2) a string normalisation report for instrument_group and other string fields; (3) a two-measure correlation report between entry_price and exit_price. All computed locally with no external lookups.","failureModes":["Fewer than 1 row submitted — minItems violation returns validation error","More than 200 rows submitted — maxItems violation returns validation error","Missing required fields (row_id, instrument_group, date, entry_price, exit_price) on any row — schema validation error","Invalid date format (not YYYY-MM-DD) — pattern validation error","entry_price or exit_price outside allowed numeric range — schema validation error","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need to validate, normalise, and analyse the statistical relationship between entry and exit prices in a trading journal dataset of up to 200 rows, and want all three reports (quality audit, string normalisation, correlation) returned in a single API call at low cost. Prefer this over generic data quality tools when your data model specifically matches the trading journal schema (entry_price, exit_price, instrument_group). Not suitable if you need live market data, predictions, or professional financial advice.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:13.858Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-record-quality-audit-string-c3a58fa6"}