{"uid":"cap__uvxxrbPBSnJGSwNUX2Q_","slug":"trading-journal-observations-record-quality-audit-string-8af7ea18","name":"Trading Journal Observations — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean","description":"Trading journal observations — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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-09-205?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_QGYkGDMgTzMEKqAEBKSDL","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 a secondary-measure weighted mean — no live data or predictions.","exampleAgentPrompt":"Can you audit the quality of my trading journal records, normalise the instrument group strings, and compute the weighted mean of entry_price? I have 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":"Spot dirty records before strategy review","prompt":"I'm about to review my trading strategy and want to catch any bad data first — can you run a record quality audit on these 50 trade rows from my journal, checking entry_price and exit_price for issues, and also normalise the instrument group names?"},{"title":"Weighted average exit price by group","prompt":"I need the weighted mean of exit_price across my trading journal entries — here are 120 rows with row IDs, instrument groups, dates, and both entry and exit prices. Please also flag any quality problems you find."},{"title":"Pre-reporting data clean for fund trades","prompt":"Before I generate my monthly trading report I need to normalise the instrument_group strings and audit these 200 trade records for data quality issues — can you run all three reports on my journal rows with entry and exit prices?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values per row; (2) normalised string output for categorical fields like instrument_group; (3) a secondary-measure weighted mean computed over the selected field (entry_price or exit_price). All computed locally with no external lookups or predictions.","failureModes":["Empty rows array or fewer than 1 row returns validation error","More than 200 rows exceeds the limit and will be rejected","Null entry_price and exit_price simultaneously may degrade weighted mean computation","Invalid date format (not YYYY-MM-DD) causes schema validation failure","row_id missing or empty string causes required field error","field enum value not 'entry_price' or 'exit_price' causes rejection"],"whenToPreferThis":"Choose this endpoint when you need a bundled, cost-efficient set of three data quality and summarisation operations on trading journal data (up to 200 rows) in a single call for $0.01 USDC — specifically when you want record quality auditing, string normalisation, and a weighted mean together without making separate API calls or requiring live market data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T12:42:31.545Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-record-quality-audit-string-8af7ea18"}