{"uid":"cap_EP0c44agKSYyVJ6nae1Om","slug":"trading-journal-observations-numeric-distribution-daily-sum-series-9edafb10","name":"Trading Journal Observations — Numeric Distribution + Daily Sum Series","description":"Trading journal observations — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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-09-075?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_XXUXq_IwLrFPntGuH0ph3","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":"Computes a numeric distribution report and a daily sum time series for entry_price or exit_price fields across up to 200 trading journal observation rows.","exampleAgentPrompt":"Analyze the distribution and daily sum series for the entry_price field across these 4 trading journal rows: 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":"Daily entry price totals for a strategy review","prompt":"I have 50 trades from last quarter — can you give me the numeric distribution and daily sum series for the entry_price field so I can see how my position sizing was spread over time? Here are the rows: [row-1, 2025-01-03, group-equities, entry 1250.50, exit 1275.00], [row-2, 2025-01-03, group-equities, entry 980.00, exit 1010.50]..."},{"title":"Exit price spread analysis across instrument groups","prompt":"Can you run the numeric distribution and daily sum series analysis on the exit_price field for these 30 trading journal records across my forex and futures groups? I want to understand how my exits cluster and what the daily totals look like."},{"title":"Multi-instrument trade journal statistical summary","prompt":"I want two reports on my trading journal data — the price distribution and the day-by-day summed totals — using the entry_price field. I have trades across group-a and group-b instruments from October 2026, about 100 rows total. Can you process them and show me both reports?"}],"resultDescription":"Two independent analytical reports generated locally from the supplied rows: (1) a numeric distribution breakdown of the chosen price field (entry_price or exit_price) showing spread, frequency bands, and statistical shape; (2) a daily sum series aggregating the chosen field by date, showing total values per day across the dataset.","failureModes":["Fewer than 1 row supplied — minItems violation rejected at input validation","More than 200 rows supplied — maxItems limit exceeded","Missing required fields (row_id, instrument_group, date, entry_price, exit_price) cause row rejection","Invalid date format (not YYYY-MM-DD) causes parsing failure","Price values outside ±1,000,000,000,000 range rejected","Invalid field enum value (not entry_price or exit_price) causes request failure","Payment of 0.01 USDC not completed — x402 payment required before response is returned"],"whenToPreferThis":"Choose this endpoint when you have a batch of trading journal records (up to 200 rows) and need both a distribution analysis and a daily aggregation time series for a price field in a single low-cost call. It is ideal for offline/local analytical computation on supplied data without needing live market data, external lookups, or predictions. It bundles two reports for $0.01 USDC, making it cost-effective for quick statistical summaries of trade logs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T00:35:46.601Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-numeric-distribution-daily-sum-series-9edafb10"}