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fmp-ai-tools

Version:

AI tools for FMP Node API - compatible with Vercel AI SDK, Langchain, OpenAI, and more

fmp-node-wrapper-docs.vercel.app

e-roy/fmp-node-wrapper

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1
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FMP();\n}\n","import { z } from 'zod';\nimport { createOpenAITool } from '@/utils/openai-tool-wrapper';\nimport { getFMPClient } from '@/types';\n\nexport const getCompanyProfile = createOpenAITool({\n name: 'getCompanyProfile',\n description: 'Get the company profile for a company',\n inputSchema: z.object({\n symbol: z\n .string()\n .min(1, 'Stock symbol is required')\n .describe('The stock symbol (e.g., AAPL, MSFT, GOOGL)'),\n }),\n execute: async ({ symbol }) => {\n const fmp = getFMPClient();\n const companyProfile = await fmp.company.getCompanyProfile(symbol);\n return JSON.stringify(companyProfile.data, null, 2);\n },\n});\n","import { z } from 'zod';\nimport { createOpenAITool } from '@/utils/openai-tool-wrapper';\nimport { getFMPClient } from '@/types';\n\n// Common input schema for calendar date range\nconst calendarInputSchema = z.object({\n from: z.string().optional().describe('Start date in YYYY-MM-DD format (optional)'),\n to: z.string().optional().describe('End date in YYYY-MM-DD format (optional)'),\n});\n\nexport const getEarningsCalendar = createOpenAITool({\n name: 'getEarningsCalendar',\n description: 'Get earnings calendar showing upcoming and recent earnings announcements',\n inputSchema: calendarInputSchema,\n execute: async ({ from, to }) => {\n const fmp = getFMPClient();\n const earningsCalendar = await fmp.calendar.getEarningsCalendar({ from, to });\n return JSON.stringify(earningsCalendar.data, null, 2);\n },\n});\n\nexport const getEconomicCalendar = createOpenAITool({\n name: 'getEconomicCalendar',\n description: 'Get economic calendar showing upcoming and recent economic events and indicators',\n inputSchema: calendarInputSchema,\n execute: async ({ from, to }) => {\n const fmp = getFMPClient();\n const economicCalendar = await fmp.calendar.getEconomicsCalendar({ from, to });\n return JSON.stringify(economicCalendar.data, null, 2);\n },\n});\n","import { z } from 'zod';\nimport { createOpenAITool } from '@/utils/openai-tool-wrapper';\nimport { getFMPClient } from '@/types';\n\n// Input schema for treasury rates with date range\nconst treasuryRatesInputSchema = z.object({\n from: z.string().optional().describe('Start date in YYYY-MM-DD format (optional)'),\n to: z.string().optional().describe('End date in YYYY-MM-DD format (optional)'),\n});\n\n// Economic indicators enum and schema\nconst economicIndicatorNames = [\n 'GDP',\n 'realGDP',\n 'nominalPotentialGDP',\n 'realGDPPerCapita',\n 'federalFunds',\n 'CPI',\n 'inflationRate',\n 'inflation',\n 'retailSales',\n 'consumerSentiment',\n 'durableGoods',\n 'unemploymentRate',\n 'totalNonfarmPayroll',\n 'initialClaims',\n 'industrialProductionTotalIndex',\n 'newPrivatelyOwnedHousingUnitsStartedTotalUnits',\n 'totalVehicleSales',\n 'retailMoneyFunds',\n 'smoothedUSRecessionProbabilities',\n '3MonthOr90DayRatesAndYieldsCertificatesOfDeposit',\n 'commercialBankInterestRateOnCreditCardPlansAllAccounts',\n '30YearFixedRateMortgageAverage',\n '15YearFixedRateMortgageAverage',\n] as const;\n\nconst economicIndicatorsInputSchema = z.object({\n name: z.enum(economicIndicatorNames).describe('The name of the economic indicator'),\n from: z.string().optional().describe('Start date in YYYY-MM-DD format (optional)'),\n to: z.string().optional().describe('End date in YYYY-MM-DD format (optional)'),\n});\n\nexport const getTreasuryRates = createOpenAITool({\n name: 'getTreasuryRates',\n description: 'Get treasury rates for different maturities over time',\n inputSchema: treasuryRatesInputSchema,\n execute: async ({ from, to }) => {\n const fmp = getFMPClient();\n const treasuryRates = await fmp.economic.getTreasuryRates({ from, to });\n return JSON.stringify(treasuryRates.data, null, 2);\n },\n});\n\nexport const getEconomicIndicators = createOpenAITool({\n name: 'getEconomicIndicators',\n description: 'Get economic indicators like GDP, unemployment rate, inflation, etc.',\n inputSchema: economicIndicatorsInputSchema,\n execute: async ({ name, from, to }) => {\n const fmp = getFMPClient();\n const economicIndicators = await fmp.economic.getEconomicIndicators({ name, from, to });\n return JSON.stringify(economicIndicators.data, null, 2);\n },\n});\n","import { z } from 'zod';\nimport { createOpenAITool } from '@/utils/openai-tool-wrapper';\nimport { getFMPClient } from '@/types';\n\n// Input schema for ETF holdings with optional date\nconst etfHoldingsInputSchema = z.object({\n symbol: z.string().min(1, 'ETF symbol is required').describe('ETF symbol (e.g., SPY, QQQ, VTI)'),\n date: z.string().optional().describe('Date for holdings in YYYY-MM-DD format (optional)'),\n});\n\n// Input schema for ETF profile\nconst etfProfileInputSchema = z.object({\n symbol: z.string().min(1, 'ETF symbol is required').describe('ETF symbol (e.g., SPY, QQQ, VTI)'),\n});\n\nexport const getETFHoldings = createOpenAITool({\n name: 'getETFHoldings',\n description:\n 'Get ETF holdings for a specific ETF symbol, showing the underlying assets and their weights',\n inputSchema: etfHoldingsInputSchema,\n execute: async ({ symbol, date }) => {\n const fmp = getFMPClient();\n const params: any = { symbol };\n if (date) {\n params.date = date;\n }\n\n const etfHoldings = await fmp.etf.getHoldings(params);\n return JSON.stringify(etfHoldings.data, null, 2);\n },\n});\n\nexport const getETFProfile = createOpenAITool({\n name: 'getETFProfile',\n description: 'Get ETF profile information including fund details, expense ratio, and key metrics',\n inputSchema: etfProfileInputSchema,\n execute: async ({ symbol }) => {\n const fmp = getFMPClient();\n const etfProfile = await fmp.etf.getProfile(symbol);\n return JSON.stringify(etfProfile.data, null, 2);\n },\n});\n","import { z } from 'zod';\nimport { createOpenAITool } from '@/utils/openai-tool-wrapper';\nimport { getFMPClient } from '@/types';\n\n// Common input schema for financial statements with symbol and period\nconst financialStatementInputSchema = z.object({\n symbol: z\n .string()\n .min(1, 'Stock symbol is required')\n .describe('The stock symbol (e.g., AAPL, MSFT, GOOGL)'),\n period: z\n .enum(['annual', 'quarter'])\n .default('annual')\n .describe('The period type (annual or quarter)'),\n});\n\nexport const getBalanceSheet = createOpenAITool({\n name: 'getBalanceSheet',\n description: 'Get balance sheet for a company showing assets, liabilities, and equity',\n inputSchema: financialStatementInputSchema,\n execute: async ({ symbol, period }) => {\n const fmp = getFMPClient();\n const balanceSheet = await fmp.financial.getBalanceSheet({ symbol, period });\n return JSON.stringify(balanceSheet.data, null, 2);\n },\n});\n\nexport const getIncomeStatement = createOpenAITool({\n name: 'getIncomeStatement',\n description: 'Get income statement for a company showing revenue, expenses, and profit',\n inputSchema: financialStatementInputSchema,\n execute: async ({ symbol, period }) => {\n const fmp = getFMPClient();\n const incomeStatement = await fmp.financial.getIncomeStatement({ symbol, period });\n return JSON.stringify(incomeStatement.data, null, 2);\n },\n});\n\nexport const getCashFlowStatement = createOpenAITool({\n name: 'getCashFlowStatement',\n description:\n 'Get cash flow statement for a company showing operating, investing, and financing cash flows',\n inputSchema: financialStatementInputSchema,\n execute: async ({ symbol, period }) => {\n const fmp = getFMPClient();\n const cashFlowStatement = await fmp.financial.getCashFlowStatement({ symbol, period });\n return JSON.stringify(cashFlowStatement.data, null, 2);\n },\n});\n\nexport const getFinancialRatios = createOpenAITool({\n name: 'getFinancialRatios',\n description:\n 'Get financial ratios for a company including profitability, liquidity, and efficiency metrics',\n inputSchema: financialStatementInputSchema,\n execute: async ({ symbol, period }) => {\n const fmp = getFMPClient();\n const financialRatios = await fmp.financial.getFinancialRatios({ symbol, period });\n return JSON.stringify(financialRatios.data, null, 2);\n },\n});\n","import { z } from 'zod';\nimport { createOpenAITool } from '@/utils/openai-tool-wrapper';\nimport { getFMPClient } from '@/types';\n\n// Input schema for insider trading with symbol and optional page\nconst insiderTradingInputSchema = z.object({\n symbol: z\n .string()\n .min(1, 'Stock symbol is required')\n .describe('Stock symbol (e.g., AAPL, MSFT, GOOGL)'),\n page: z\n .number()\n .int()\n .min(0)\n .default(0)\n .describe('Page number for pagination (optional, defaults to 0)'),\n});\n\nexport const getInsiderTrading = createOpenAITool({\n name: 'getInsiderTrading',\n description:\n 'Get insider trading data for a specific stock symbol showing buy/sell transactions by company insiders',\n inputSchema: insiderTradingInputSchema,\n execute: async ({ symbol, page }) => {\n const fmp = getFMPClient();\n const insiderTrading = await fmp.insider.getInsiderTradesBySymbol(symbol, page);\n return JSON.stringify(insiderTrading.data, null, 2);\n },\n});\n","import { z } from 'zod';\nimport { createOpenAITool } from '@/utils/openai-tool-wrapper';\nimport { getFMPClient } from '@/types';\n\n// Input schema for institutional holders with symbol\nconst institutionalHoldersInputSchema = z.object({\n symbol: z\n .string()\n .min(1, 'Stock symbol is required')\n .describe('Stock symbol (e.g., AAPL, MSFT, GOOGL)'),\n});\n\nexport const getInstitutionalHolders = createOpenAITool({\n name: 'getInstitutionalHolders',\n description:\n 'Get institutional holders for a specific stock symbol showing which institutions own shares and their holdings',\n inputSchema: institutionalHoldersInputSchema,\n execute: async ({ symbol }) => {\n const fmp = getFMPClient();\n const institutionalHolders = await fmp.institutional.getInstitutionalHolders({ symbol });\n\n // Return formatted JSON string\n return JSON.stringify(institutionalHolders.data, null, 2);\n },\n});\n","import { z } from 'zod';\nimport { createOpenAITool } from '@/utils/openai-tool-wrapper';\nimport { getFMPClient } from '@/types';\n\n// Empty schema for tools that don't require parameters\nconst emptyInputSchema = z.object({});\n\nexport const getMarketPerformance = createOpenAITool({\n name: 'getMarketPerformance',\n description: 'Get overall market performance data including major indices performance',\n inputSchema: emptyInputSchema,\n execute: async () => {\n const fmp = getFMPClient();\n const marketPerformance = await fmp.market.getMarketPerformance();\n return JSON.stringify(marketPerformance.data, null, 2);\n },\n});\n\nexport const getSectorPerformance = createOpenAITool({\n name: 'getSectorPerformance',\n description: 'Get sector performance data showing how different market sectors are performing',\n inputSchema: emptyInputSchema,\n execute: async () => {\n const fmp = getFMPClient();\n const sectorPerformance = await fmp.market.getSectorPerformance();\n return JSON.stringify(sectorPerformance.data, null, 2);\n },\n});\n\nexport const getGainers = createOpenAITool({\n name: 'getGainers',\n description: 'Get top gaining stocks showing the best performing stocks of the day',\n inputSchema: emptyInputSchema,\n execute: async () => {\n const fmp = getFMPClient();\n const gainers = await fmp.market.getGainers();\n return JSON.stringify(gainers.data, null, 2);\n },\n});\n\nexport const getLosers = createOpenAITool({\n name: 'getLosers',\n description: 'Get top losing stocks showing the worst performing stocks of the day',\n inputSchema: emptyInputSchema,\n execute: async () => {\n const fmp = getFMPClient();\n const losers = await fmp.market.getLosers();\n return JSON.stringify(losers.data, null, 2);\n },\n});\n\nexport const getMostActive = createOpenAITool({\n name: 'getMostActive',\n description: 'Get most active stocks showing stocks with the highest trading volume',\n inputSchema: emptyInputSchema,\n execute: async () => {\n const fmp = getFMPClient();\n const mostActive = await fmp.market.getMostActive();\n return JSON.stringify(mostActive.data, null, 2);\n },\n});\n","import { z } from 'zod';\nimport { createOpenAITool } from '@/utils/openai-tool-wrapper';\nimport { getFMPClient } from '@/types';\n\n// Input schema for stock quote with symbol\nconst stockQuoteInputSchema = z.object({\n symbol: z\n .string()\n .min(1, 'Stock symbol is required')\n .describe('The symbol of the company to get the stock quote for'),\n});\n\nexport const getStockQuote = createOpenAITool({\n name: 'getStockQuote',\n description:\n 'Get the real-time stock quote for a company including price, volume, and market data',\n inputSchema: stockQuoteInputSchema,\n execute: async ({ symbol }) => {\n const fmp = getFMPClient();\n const stockQuote = await fmp.quote.getQuote(symbol);\n return JSON.stringify(stockQuote.data, null, 2);\n },\n});\n","import { z } from 'zod';\nimport { createOpenAITool } from '@/utils/openai-tool-wrapper';\nimport { getFMPClient } from '@/types';\n\n// Input schema for symbol-based trading data\nconst symbolInputSchema = z.object({\n symbol: z\n .string()\n .min(1, 'Stock symbol is required')\n .describe('Stock symbol (e.g., AAPL, MSFT, GOOGL)'),\n});\n\n// Input schema for name-based trading data\nconst nameInputSchema = z.object({\n name: z.string().min(1, 'Name is required').describe('The name of the senator or representative'),\n});\n\n// Input schema for RSS feed with pagination\nconst rssFeedInputSchema = z.object({\n page: z\n .number()\n .int()\n .min(0)\n .default(0)\n .describe('Page number for pagination (optional, defaults to 0)'),\n});\n\nexport const getSenateTrading = createOpenAITool({\n name: 'getSenateTrading',\n description: 'Get senate trading data for a specific stock symbol showing senator transactions',\n inputSchema: symbolInputSchema,\n execute: async ({ symbol }) => {\n const fmp = getFMPClient();\n const senateTrading = await fmp.senateHouse.getSenateTrading({ symbol });\n return JSON.stringify(senateTrading.data, null, 2);\n },\n});\n\nexport const getHouseTrading = createOpenAITool({\n name: 'getHouseTrading',\n description:\n 'Get house trading data for a specific stock symbol showing representative transactions',\n inputSchema: symbolInputSchema,\n execute: async ({ symbol }) => {\n const fmp = getFMPClient();\n const houseTrading = await fmp.senateHouse.getHouseTrading({ symbol });\n return JSON.stringify(houseTrading.data, null, 2);\n },\n});\n\nexport const getSenateTradingByName = createOpenAITool({\n name: 'getSenateTradingByName',\n description:\n 'Get senate trading data for a specific senator by name showing their trading activity',\n inputSchema: nameInputSchema,\n execute: async ({ name }) => {\n const fmp = getFMPClient();\n const senateTradingByName = await fmp.senateHouse.getSenateTradingByName({ name });\n return JSON.stringify(senateTradingByName.data, null, 2);\n },\n});\n\nexport const getHouseTradingByName = createOpenAITool({\n name: 'getHouseTradingByName',\n description:\n 'Get house trading data for a specific representative by name showing their trading activity',\n inputSchema: nameInputSchema,\n execute: async ({ name }) => {\n const fmp = getFMPClient();\n const houseTradingByName = await fmp.senateHouse.getHouseTradingByName({ name });\n return JSON.stringify(houseTradingByName.data, null, 2);\n },\n});\n\nexport const getSenateTradingRSSFeed = createOpenAITool({\n name: 'getSenateTradingRSSFeed',\n description:\n 'Get senate trading data through RSS feed with pagination showing recent senate transactions',\n inputSchema: rssFeedInputSchema,\n execute: async ({ page }) => {\n const fmp = getFMPClient();\n const senateTradingRSSFeed = await fmp.senateHouse.getSenateTradingRSSFeed({ page });\n return JSON.stringify(senateTradingRSSFeed.data, null, 2);\n },\n});\n\nexport const getHouseTradingRSSFeed = createOpenAITool({\n name: 'getHouseTradingRSSFeed',\n description:\n 'Get house trading data through RSS feed with pagination showing recent house transactions',\n inputSchema: rssFeedInputSchema,\n execute: async ({ page }) => {\n const fmp = getFMPClient();\n const houseTradingRSSFeed = await fmp.senateHouse.getHouseTradingRSSFeed({ page });\n return JSON.stringify(houseTradingRSSFeed.data, null, 2);\n },\n});\n","import { z } from 'zod';\nimport { createOpenAITool } from '@/utils/openai-tool-wrapper';\nimport { getFMPClient } from '@/types';\n\n// Input schema for symbol-based stock operations\nconst symbolInputSchema = z.object({\n symbol: z\n .string()\n .min(1, 'Stock symbol is required')\n .describe('The stock symbol (e.g., AAPL, MSFT, GOOGL)'),\n});\n\nexport const getMarketCap = createOpenAITool({\n name: 'getMarketCap',\n description: 'Get market capitalization for a company showing current market value',\n inputSchema: symbolInputSchema,\n execute: async ({ symbol }) => {\n const fmp = getFMPClient();\n const marketCap = await fmp.stock.getMarketCap(symbol);\n return JSON.stringify(marketCap.data, null, 2);\n },\n});\n\nexport const getStockSplits = createOpenAITool({\n name: 'getStockSplits',\n description: 'Get stock splits history for a company showing all historical stock split events',\n inputSchema: symbolInputSchema,\n execute: async ({ symbol }) => {\n const fmp = getFMPClient();\n const stockSplits = await fmp.stock.getStockSplits(symbol);\n return JSON.stringify(stockSplits.data, null, 2);\n },\n});\n\nexport const getDividendHistory = createOpenAITool({\n name: 'getDividendHistory',\n description: 'Get dividend history for a company showing all historical dividend payments',\n inputSchema: symbolInputSchema,\n execute: async ({ symbol }) => {\n const fmp = getFMPClient();\n const dividendHistory = await fmp.stock.getDividendHistory(symbol);\n return JSON.stringify(dividendHistory.data, null, 2);\n },\n});\n\nexport const stockTools = [getMarketCap, getStockSplits, getDividendHistory];\n","import type { Tool } from '@openai/agents';\nimport { getCompanyProfile } from './company';\nimport { getEarningsCalendar, getEconomicCalendar } from './calendar';\nimport { getTreasuryRates, getEconomicIndicators } from './economic';\nimport { getETFHoldings, getETFProfile } from './etf';\nimport {\n getBalanceSheet,\n getIncomeStatement,\n getCashFlowStatement,\n getFinancialRatios,\n} from './financial';\nimport { getInsiderTrading } from './insider';\nimport { getInstitutionalHolders } from './institutional';\nimport {\n getMarketPerformance,\n getSectorPerformance,\n getGainers,\n getLosers,\n getMostActive,\n} from './market';\nimport { getStockQuote } from './quote';\nimport {\n getSenateTrading,\n getHouseTrading,\n getSenateTradingByName,\n getHouseTradingByName,\n getSenateTradingRSSFeed,\n getHouseTradingRSSFeed,\n} from './senate-house';\nimport { getMarketCap, getStockSplits, getDividendHistory } from './stock';\n\n// Export individual tools for OpenAI agents\nexport {\n getCompanyProfile,\n getEarningsCalendar,\n getEconomicCalendar,\n getTreasuryRates,\n getEconomicIndicators,\n getETFHoldings,\n getETFProfile,\n getBalanceSheet,\n getIncomeStatement,\n getCashFlowStatement,\n getFinancialRatios,\n getInsiderTrading,\n getInstitutionalHolders,\n getMarketPerformance,\n getSectorPerformance,\n getGainers,\n getLosers,\n getMostActive,\n getStockQuote,\n getSenateTrading,\n getHouseTrading,\n getSenateTradingByName,\n getHouseTradingByName,\n getSenateTradingRSSFeed,\n getHouseTradingRSSFeed,\n getMarketCap,\n getStockSplits,\n getDividendHistory,\n};\n\n// Export tool groups as arrays for OpenAI Agents\nexport const companyTools = [getCompanyProfile] as Tool[];\nexport const calendarTools = [getEarningsCalendar, getEconomicCalendar] as Tool[];\nexport const economicTools = [getTreasuryRates, getEconomicIndicators] as Tool[];\nexport const etfTools = [getETFHoldings, getETFProfile] as Tool[];\nexport const financialTools = [\n getBalanceSheet,\n getIncomeStatement,\n getCashFlowStatement,\n getFinancialRatios,\n] as Tool[];\nexport const insiderTools = [getInsiderTrading] as Tool[];\nexport const institutionalTools = [getInstitutionalHolders] as Tool[];\nexport const marketTools = [\n getMarketPerformance,\n getSectorPerformance,\n getGainers,\n getLosers,\n getMostActive,\n] as Tool[];\nexport const quoteTools = [getStockQuote] as Tool[];\nexport const senateHouseTools = [\n getSenateTrading,\n getHouseTrading,\n getSenateTradingByName,\n getHouseTradingByName,\n getSenateTradingRSSFeed,\n getHouseTradingRSSFeed,\n] as Tool[];\nexport const stockTools = [getMarketCap, getStockSplits, getDividendHistory] as Tool[];\n\n// Combine all tools into a single array for convenience\nexport const fmpTools: Tool[] = [\n getCompanyProfile,\n getEarningsCalendar,\n getEconomicCalendar,\n getTreasuryRates,\n getEconomicIndicators,\n getETFHoldings,\n getETFProfile,\n getBalanceSheet,\n getIncomeStatement,\n getCashFlowStatement,\n getFinancialRatios,\n getInsiderTrading,\n getInstitutionalHolders,\n getMarketPerformance,\n getSectorPerformance,\n getGainers,\n getLosers,\n getMostActive,\n getStockQuote,\n getSenateTrading,\n getHouseTrading,\n getSenateTradingByName,\n getHouseTradingByName,\n getSenateTradingRSSFeed,\n getHouseTradingRSSFeed,\n getMarketCap,\n getStockSplits,\n getDividendHistory,\n];\n"]}