{"uid":"cap_n0YZAhOwgP728eyYGYyjK","slug":"trading-journal-observations-record-quality-audit-string-f6741b8a","name":"Trading Journal Observations — Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Trading journal observations — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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-09-194?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_WAalyPZD4drliJSWBXTrs","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 grouped numeric summary — no external data or predictions.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and grouped numeric summary on my trading journal data? I have up to 50 rows with fields like row_id, instrument_group, date, entry_price, and exit_price — I want to analyse the entry_price field specifically.","exampleUseCases":[{"title":"Audit trade log data quality","prompt":"I have a trading journal CSV with about 80 rows including row_id, date, instrument_group, entry_price, and exit_price — can you run a full record quality audit on it to flag any missing values, nulls, or malformed records in the entry_price field?"},{"title":"Normalise instrument group labels","prompt":"My trading journal has inconsistent instrument_group strings like 'FX', 'fx ', 'Fx' across 120 rows — can you run the string normalisation report on those rows so I can see a clean, standardised view?"},{"title":"Grouped numeric summary by instrument","prompt":"I want a grouped numeric summary of exit_price across my 40 trade records broken down by instrument_group — can you run that report on my trading journal data and show me group-level stats?"}],"resultDescription":"Returns three structured analytical reports: (1) a record quality audit highlighting nulls, malformed values, and completeness issues per row; (2) a string normalisation report standardising instrument_group and other text fields; and (3) a grouped numeric summary of the selected price field (entry_price or exit_price) aggregated by instrument_group. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Rows array is empty or exceeds 200-item limit — validation error returned","date field does not match YYYY-MM-DD pattern — schema validation rejection","entry_price or exit_price outside allowed range (-1e12 to 1e12) — rejected","field enum value not 'entry_price' or 'exit_price' — invalid input error","row_id missing or blank — required field validation failure","Payment of 0.01 USDC not provided — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations on trading journal data (quality audit, string normalisation, grouped numeric summary) in a single low-cost call. Ideal for pre-processing or QA of trade logs before further analysis. Not suitable if you need live market data, price predictions, external lookups, or more than 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:08.347Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-record-quality-audit-string-f6741b8a"}