{"uid":"cap_jvwIAeQD9PtPdliCwmBNi","slug":"trading-journal-base-100-series-date-by-category-pivot-cc7999fe","name":"Trading Journal Base-100 Series + Date-by-Category Pivot","description":"Trading journal observations — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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-09-167?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_PS95yAoFeZeJzHjpHC2xW","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 Base-100 indexed price series and a date-by-category pivot table from supplied trading journal records (entry_price, exit_price) — two analytical reports per call, no live data.","exampleAgentPrompt":"Take my trading journal rows — instruments in groups 'equities' and 'futures', dated from 2025-01-01 to 2025-06-30 with entry and exit prices — and give me a Base-100 series rebased from row 0 on the entry_price field, plus a date-by-category pivot table across those same records.","exampleUseCases":[{"title":"Equity vs futures relative performance","prompt":"I have 150 trade records split between 'equities' and 'crypto' groups, with dates and entry/exit prices — can you rebase the exit_price series to 100 starting from row 0 and also pivot the data by date and instrument group so I can see category trends side by side?"},{"title":"Monthly trading review dashboard","prompt":"Here are my journal trades for Q1 2025 across three instrument groups — run a Base-100 series on entry_price starting from index 0 and give me a date-by-category pivot so I can review how each group moved month by month."},{"title":"Backtesting price normalization check","prompt":"I'm backtesting a strategy and have up to 200 trade rows with entry and exit prices across two asset groups. Can you normalize the entry_price to a Base-100 series from the first row and pivot those trades by date and category so I can compare the two groups visually?"}],"resultDescription":"Two analytical reports: (1) a Base-100 indexed series for the chosen price field (entry_price or exit_price), rebased at the specified row index; (2) a pivot table of values organized by date rows and instrument_group columns. Both computed locally from the supplied rows — no external data fetched.","failureModes":["Empty or missing rows array returns an error","row_id values that are not unique may produce unexpected pivot behavior","base_index exceeding the number of supplied rows causes an out-of-bounds error","Null entry_price or exit_price values on the base row may break normalization","More than 200 rows submitted will be rejected due to maxItems constraint","Invalid date format (not YYYY-MM-DD) will fail schema validation"],"whenToPreferThis":"Choose this endpoint when you have your own trading journal data (up to 200 rows) and need both a Base-100 normalized price series and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for agents building offline analytics dashboards or backtesting summaries without needing live market data, external APIs, or professional financial assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:29.869Z","isFirstParty":false,"canonicalSlug":"trading-journal-base-100-series-date-by-category-pivot-cc7999fe"}