{"uid":"cap_WLqpvmpI1Yh6ZrG3lNZfo","slug":"trading-journal-observations-numeric-interval-filter-date-by-category-c2e31f38","name":"Trading Journal Observations — Numeric Interval Filter + Date by Category Pivot","description":"Trading journal observations — Numeric interval filter + Date by category pivot: Numeric interval filter + 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-09-133?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_tMqm1bRI6_h3u3333kJm4","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":"Filters trading journal rows by a numeric price range and produces a date-by-instrument-group pivot table, returning two analytical reports for up to 200 supplied records.","exampleAgentPrompt":"Filter my trading journal records where entry_price is between 10 and 500, then pivot the results by date and instrument group — here are my rows: row-1, 2024-01-15, entry 120, exit 135, group Equities; row-2, 2024-01-15, entry 8, exit 90, group Forex; row-3, 2024-01-16, entry 200, exit 210, group Equities. Give me both the interval-filtered report and the date-by-category pivot.","exampleUseCases":[{"title":"Daily equity vs forex trade breakdown","prompt":"I have 50 trade records for January — can you filter the ones where exit_price falls between 100 and 2000 and then pivot them by date and instrument group so I can see which categories were active on which days?"},{"title":"Range-filtered entry price audit","prompt":"Take my trading journal for Q1 (up to 200 rows with entry_price and exit_price) and run a numeric interval filter on entry_price between 0 and 500, plus give me a date-by-category pivot so I can audit which instrument groups had the most activity."},{"title":"Outlier trade price investigation","prompt":"I want to isolate trades where the entry_price is between 5000 and 1000000 — those are the big tickets — and then see them broken out by date and instrument group in a pivot table. Can you run both reports on my 80 journal rows?"}],"resultDescription":"Two analytical reports: (1) a subset of the supplied rows whose selected numeric field (entry_price or exit_price) falls within the specified minimum–maximum interval, and (2) a pivot table cross-referencing trade dates against instrument group categories, both derived entirely from the caller-supplied data without any external lookup.","failureModes":["Missing required fields (row_id, date, instrument_group, entry_price, exit_price) cause validation errors","Rows array exceeding 200 items is rejected","Date strings not matching YYYY-MM-DD pattern fail schema validation","Minimum greater than maximum produces an empty interval-filtered result set","Numeric values outside ±1,000,000,000,000 are rejected by schema","Payment of 0.01 USDC not included or declined results in 402 response"],"whenToPreferThis":"Choose this endpoint when you already have trading journal data in hand and need two offline analytical views — a price-range filter and a date-by-category pivot — computed locally without any external data lookups, predictions, or live market feeds. It is ideal for batch post-trade analysis where privacy matters (no data leaves your payload to third-party sources) and cost must be minimal ($0.01 for both reports on up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T00:35:44.005Z","isFirstParty":false,"canonicalSlug":"trading-journal-observations-numeric-interval-filter-date-by-category-c2e31f38"}