Run

P4

836d30b28ff596e01d8cc287e0b83b3d3e1a1bc1

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: EISDIR: illegal operation on a directory, read '/home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3' Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/README.md /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/package.json Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 # AI Financial Agent 🤖 2 This is a proof of conncept AI financial agent. The goal of this project is to explore the use of AI for investment research. This project is for **educational** purposes only and is not intended for real trading or investment. 3 4 👋 **Demo**: You can use a live demo of this project [here](https://chat.financialdatasets.ai/). 5 6 <img width="1709" alt="Screenshot 2025-01-06 at 5 53 59 PM" Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 { 2 "name": "ai-chatbot", 3 "version": "0.1.0", 4 "private": true, 5 "scripts": { 6 "dev": "next dev --turbo", 7 "build": "tsx lib/db/migrate && next build", 8 "start": "next start", 9 "lint": "next lint && biome lint --write --unsafe", 10 "lint:fix": "next lint --fix && biome lint --write --unsafe", 11 "format": "biome format --write", 12 "db:generate": "drizzle-kit generate", 13 "db:migrate": "npx tsx lib/db/migr Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Provider mentions: openai

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: total 400 drwxr-xr-x 7 user user 4096 Jun 5 23:32 . drwxr-xr-x 4 user user 4096 Jun 5 23:32 .. -rw-r--r-- 1 user user 823 Jun 5 23:32 .env.example -rw-r--r-- 1 user user 463 Jun 5 23:32 .eslintrc.json -rw-r--r-- 1 user user 170 Jun 5 23:32 .git -rw-r--r-- 1 user user 436 Jun 5 23:32 .gitignore -rw-r--r-- 1 user user 552 Jun 5 23:32 LICENSE -rw-r--r-- 1 user user 4859 Jun 5 23:32 README.md drwxr-xr-x 6 user user 4096 Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/lib/ai/tools Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: total 40 drwxr-xr-x 8 user user 4096 Jun 5 23:32 . drwxr-xr-x 7 user user 4096 Jun 5 23:32 .. drwxr-xr-x 3 user user 4096 Jun 5 23:32 ai drwxr-xr-x 2 user user 4096 Jun 5 23:32 api drwxr-xr-x 3 user user 4096 Jun 5 23:32 db drwxr-xr-x 2 user user 4096 Jun 5 23:32 editor drwxr-xr-x 2 user user 4096 Jun 5 23:32 types drwxr-xr-x 2 user user 4096 Jun 5 23:32 utils -rw-r--r-- 1 user user 6454 Jun 5 23:32 utils.ts Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: total 28 drwxr-xr-x 3 user user 4096 Jun 5 23:32 . drwxr-xr-x 8 user user 4096 Jun 5 23:32 .. -rw-r--r-- 1 user user 143 Jun 5 23:32 custom-middleware.ts -rw-r--r-- 1 user user 454 Jun 5 23:32 index.ts -rw-r--r-- 1 user user 891 Jun 5 23:32 models.ts -rw-r--r-- 1 user user 3343 Jun 5 23:32 prompts.ts drwxr-xr-x 2 user user 4096 Jun 5 23:32 tools Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: total 28 drwxr-xr-x 2 user user 4096 Jun 5 23:32 . drwxr-xr-x 3 user user 4096 Jun 5 23:32 .. -rw-r--r-- 1 user user 16587 Jun 5 23:32 financial-tools.ts Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 import { z } from 'zod'; 2 import { validStockSearchFilters } from '@/lib/api/stock-filters'; 3 4 export const financialTools = [ 5 'getStockPrices', 6 'getIncomeStatements', 7 'getBalanceSheets', 8 'getCashFlowStatements', 9 'getFinancialMetrics', 10 'searchStocksByFilters', 11 'getNews', 12 ] as const; 13 14 export type AllowedTools = typeof financialTools[number]; 15 16 export interface FinancialToolsConfig { 17 Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 import { createOpenAI } from '@ai-sdk/openai'; 2 import { experimental_wrapLanguageModel as wrapLanguageModel } from 'ai'; 3 4 import { customMiddleware } from './custom-middleware'; 5 6 export const customModel = (apiIdentifier: string, openAIApiKey: string) => { 7 const provider = createOpenAI({ apiKey: openAIApiKey, compatibility: 'strict' }); 8 return wrapLanguageModel({ 9 model: provider.chat(apiIdentifier), 1 Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Provider mentions: openai

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 import type { Experimental_LanguageModelV1Middleware } from 'ai'; 2 3 export const customMiddleware: Experimental_LanguageModelV1Middleware = {}; 4 Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/app/(chat)/actions.ts /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/app/(chat)/api/chat/route.ts /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/components/overview.tsx /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/lib/ai/tools/financial-tools.ts Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 import { 2 type Message, 3 convertToCoreMessages, 4 createDataStreamResponse, 5 generateObject, 6 streamText, 7 } from 'ai'; 8 import { z } from 'zod'; 9 10 import { auth } from '@/app/(auth)/auth'; 11 import { customModel } from '@/lib/ai'; 12 import { models } from '@/lib/ai/models'; 13 import { 14 systemPrompt, 15 } from '@/lib/ai/prompts'; 16 import { 17 deleteChatById, 18 getChatById, 19 saveChat, 20 saveMessa Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 # Get your OpenAI API Key here: https://platform.openai.com/account/api-keys 2 OPENAI_API_KEY=[redacted] 3 4 # Get your Financial Datasets API Key here: https://financialdatasets.ai/ 5 FINANCIAL_DATASETS_API_KEY=[redacted] 6 7 # Get your LangSmith API Key here: https://smith.langchain.com/ 8 LANGCHAIN_API_KEY=[redacted] 9 LANGCHAIN_TRACING_V2=true 10 LANGCHAIN_PROJECT=ai-financial-agent 11 12 # Generate a random secret: https://gene Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Provider mentions: openai

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 836d30b Update prompt f687ea8 Organize tools ce6ce6f Organize tools cd97c06 Organize tools 4574cce Clean up financial statements 35f147d Make 4o the default d714398 Extract tools a8c9f7d Show time 0a4e3ee Add news component 1a3047e Update suggested action ba0cd14 Use green 8826717 Clean up font awesome icon dd848c4 Change sidebar title color d8a205a Use nano for query analysis 2244b5c Update query analysis prompt 58f Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 // Define your models here. 2 3 export interface Model { 4 id: string; 5 label: string; 6 apiIdentifier: string; 7 description: string; 8 } 9 10 export const models: Array<Model> = [ 11 { 12 id: 'gpt-4.1-nano-2025-04-14', 13 label: 'GPT 4.1 nano', 14 apiIdentifier: 'gpt-4.1-nano-2025-04-14', 15 description: 'Fastest, most cost-effective GPT-4.1 model', 16 }, 17 { 18 id: 'gpt-4.1-mini-2025-04-14', 19 label: 'GPT 4.1 Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 export const blocksPrompt = ` 2 Blocks is a special user interface mode that helps users with writing, editing, and other content creation tasks. When block is open, it is on the right side of the screen, while the conversation is on the left side. When creating or updating documents, changes are reflected in real-time on the blocks and visible to the user. 3 4 When asked to write code, always use blocks. When writ Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: No matches found Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: (Bash completed with no output) Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: total 48 drwxr-xr-x 5 user user 4096 Jun 5 23:32 (auth) drwxr-xr-x 4 user user 4096 Jun 5 23:32 (chat) drwxr-xr-x 6 user user 4096 Jun 5 23:32 . drwxr-xr-x 7 user user 4096 Jun 5 23:32 .. drwxr-xr-x 3 user user 4096 Jun 5 23:32 api drwxr-xr-x 2 user user 4096 Jun 5 23:32 components -rw-r--r-- 1 user user 15406 Jun 5 23:32 favicon.ico -rw-r--r-- 1 user user 3177 Jun 5 23:32 globals.css -rw-r--r-- 1 user user 2514 Jun Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: total 12 drwxr-xr-x 2 user user 4096 Jun 5 23:32 . drwxr-xr-x 8 user user 4096 Jun 5 23:32 .. -rw-r--r-- 1 user user 2470 Jun 5 23:32 stock-filters.ts Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 export const validStockSearchFilters = [ 2 "cost_of_revenue", 3 "dividends_per_common_share", 4 "earnings_per_share", 5 "earnings_per_share_diluted", 6 "ebit", 7 "gross_profit", 8 "income_tax_expense", 9 "interest_expense", 10 "net_income", 11 "operating_expense", 12 "operating_income", 13 "research_and_development", 14 "revenue", 15 "selling_general_and_administrative_expenses", 16 "weighted_average_shares", 17 "a Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: total 12 drwxr-xr-x 3 user user 4096 Jun 5 23:32 . drwxr-xr-x 6 user user 4096 Jun 5 23:32 .. drwxr-xr-x 3 user user 4096 Jun 5 23:32 auth Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 47: const response = await fetch(`https://api.financialdatasets.ai/news/?ticker=${ticker}&limit=${limit}`, { 84: const snapshotResponse = await fetch(`https://api.financialdatasets.ai/prices/snapshot?ticker=${ticker}`, { 100: const historicalPricesResponse = await fetch(`https://api.financialdatasets.ai/prices/?${urlParams}`, { 143: const response = await fetch(`https://api.financialdatasets.ai/financials/income-stat Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/app/(chat)/api/chat/route.ts /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/components/overview.tsx Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 import { motion } from 'framer-motion'; 2 import Link from 'next/link'; 3 4 import { MessageIcon, VercelIcon } from './icons'; 5 6 export const Overview = () => { 7 return ( 8 <motion.div 9 key="overview" 10 className="max-w-3xl mx-auto md:mt-20" 11 initial={{ opacity: 0, scale: 0.98 }} 12 animate={{ opacity: 1, scale: 1 }} 13 exit={{ opacity: 0, scale: 0.98 }} 14 transition={{ delay: 0.5 }} 15 > 16 <div className= Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/components/chat.tsx /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/components/data-stream-handler.tsx /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/components/overview.tsx /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/components/sidebar-history.tsx /home/user/worktrees/a Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: (Bash completed with no output) Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 'use client'; 2 3 import type { Attachment, ChatRequestOptions, Message } from 'ai'; 4 import { useChat } from 'ai/react'; 5 import { useState } from 'react'; 6 import useSWR, { useSWRConfig } from 'swr'; 7 8 import { ChatHeader } from '@/components/chat-header'; 9 import type { Vote } from '@/lib/db/schema'; 10 import { fetcher, track } from '@/lib/utils'; 11 import { getFinancialDatasetsApiKey, getLocalOpenAIApiK Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Provider mentions: modal

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: tree f687ea8:lib/ai/tools/ financial-tools.ts Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: commit f687ea8f128addc1b9a859cb08dd77e7d1375abd Author: virattt <virat.dot@gmail.com> Date: Mon Aug 18 12:32:03 2025 -0400 Organize tools M app/(chat)/api/chat/route.ts Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: Exit code 128 fatal: path 'lib/ai/tools/index.ts' does not exist in 'f687ea8' Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: File does not exist. Note: your current working directory is /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3. Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/lib/ai/custom-middleware.ts /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/lib/ai/index.ts /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/lib/ai/models.ts /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/lib/ai/prompts.ts /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1- Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 { 2 "compilerOptions": { 3 "target": "ESNext", 4 "lib": ["dom", "dom.iterable", "esnext"], 5 "allowJs": true, 6 "skipLibCheck": true, 7 "strict": true, 8 "noEmit": true, 9 "esModuleInterop": true, 10 "module": "esnext", 11 "moduleResolution": "bundler", 12 "resolveJsonModule": true, 13 "isolatedModules": true, 14 "jsx": "preserve", 15 "incremental": true, 16 "plugins": [ 17 { 18 "name": "next" 19 } 20 ], 21 "paths" Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: import type { NextConfig } from 'next'; const nextConfig: NextConfig = { /* config options here */ experimental: { ppr: true, }, images: { remotePatterns: [ { protocol: 'https', hostname: '**', }, ], }, }; export default nextConfig; Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: /home/user/worktrees/attempt-48fc3bfe-850c-4bd1-afb1-06d63d30b372-cap-3/lib/ai/tools/financial-tools.ts: method: 'POST', Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 1 import { z } from 'zod'; 2 import { validStockSearchFilters } from '@/lib/api/stock-filters'; 3 4 export const financialTools = [ 5 'getStockPrices', 6 'getIncomeStatements', 7 'getBalanceSheets', 8 'getCashFlowStatements', 9 'getFinancialMetrics', 10 'searchStocksByFilters', 11 'getNews', 12 ] as const; 13 14 export type AllowedTools = typeof financialTools[number]; 15 16 export interface FinancialToolsConfig { 17 Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers. Tool result summary: 836d30b28ff596e01d8cc287e0b83b3d3e1a1bc1 Update prompt Agent context: I'll research the repository first to understand what it is and how it works, then evaluate web-search providers.

Agent context: Now I understand the repo: it's an AI Financial Agent (Next.js/TypeScript, Vercel AI SDK, OpenAI, Zod-schema tools using native `fetch`). Let me research web-search providers by consulting their actual documentation. Now I understand the repo: it's an AI Financial Agent (Next.js/TypeScript, Vercel AI SDK, OpenAI, Zod-schema tools using native `fetch`). Let me research web-search providers by consulting their actual documentation. Provider mentions: openai

Agent context: Let me enumerate and research providers with parallel web searches. Let me enumerate and research providers with parallel web searches.

Query/prompt: best web search API for LLM agents 2026 Tavily Exa Brave Perplexity comparison Agent context: Let me enumerate and research providers with parallel web searches. Query: best web search API for LLM agents 2026 Tavily Exa Brave Perplexity comparison 10 search result links captured Tool result summary: Based on the search results, here's a comprehensive comparison of the best web search APIs for LLM agents in 2026: ## Performance Rankings Perplexity scored highest, Exa was a close second, Gemini third, Tavily last in one benchmark. However, an independent benchmark by AIMultiple evaluated 8 search APIs across 100 real-world AI/LLM queries and found the top four providers statistically indistinguishable: Brave Searc Agent context: Let me enumerate and research providers with parallel web searches.

Query/prompt: managed web search retrieval API for AI agents grounding 2026 list providers Agent context: Let me enumerate and research providers with parallel web searches. Query: managed web search retrieval API for AI agents grounding 2026 list providers 8 search result links captured Tool result summary: Based on the search results, here's information about managed web search retrieval APIs for AI agents and grounding in 2026: ## Key Providers and Solutions **Microsoft Web IQ** Microsoft has announced Web IQ at Build 2026, a new suite of AI-native grounding APIs designed to help AI applications and autonomous agents access up-to-date information from the web when generating responses. Unlike traditional search servic Agent context: Let me enumerate and research providers with parallel web searches.

Query/prompt: European non-US web search API Linkup Mojeek Qwant Jina AI agents 2026 Agent context: Let me enumerate and research providers with parallel web searches. Query: European non-US web search API Linkup Mojeek Qwant Jina AI agents 2026 8 search result links captured Tool result summary: I've completed a web search on European non-US web search APIs and services for AI agents in 2026. Here are the key findings: ## European Search APIs for AI Agents: **Linkup** Linkup is an AI search tool for developers that provides AI applications and chatbots with accurate, up-to-date web facts from trusted sources. It offers GDPR-compliant search data and real-time content freshness for EU-focused AI applications. Agent context: Let me enumerate and research providers with parallel web searches.

Query/prompt: Bing Web Search API retirement 2025 alternatives for developers Agent context: Let me enumerate and research providers with parallel web searches. Query: Bing Web Search API retirement 2025 alternatives for developers 10 search result links captured Tool result summary: Based on the web search results, here's comprehensive information about the Bing Web Search API retirement and alternatives for developers: ## Bing Search API Retirement Timeline The Bing Search API was retired on August 11, 2025. Microsoft announced the retirement of all Bing Search APIs on May 15, 2025, with full decommissioning on August 11, 2025. API creation was silently disabled in March 2025, weeks before any Agent context: Let me enumerate and research providers with parallel web searches.

Agent context: Strong landscape captured. Key fact: Bing Web Search API was retired Aug 2025. Now let me consult the actual documentation of the top finalists to verify API shape, pricing, and fit. Strong landscape captured. Key fact: Bing Web Search API was retired Aug 2025. Now let me consult the actual documentation of the top finalists to verify API shape, pricing, and fit.

Query/prompt: Extract the Tavily Search API details: endpoint URL, auth method, request parameters, response shape, whether it returns LLM-ready content/answers, any official JS/TypeScript SDK or Vercel AI SDK integration, and pricing/free tier if mentioned. Agent context: Strong landscape captured. Key fact: Bing Web Search API was retired Aug 2025. Now let me consult the actual documentation of the top finalists to verify API shape, pricing, and fit. Fetch prompt: Extract the Tavily Search API details: endpoint URL, auth method, request parameters, response shape, whether it returns LLM-ready content/answers, any official JS/TypeScript SDK or Vercel AI SDK integration, and pricing/free tier if mentioned. Tool result summary: # Tavily Search API Summary ## Endpoint & Authentication - **URL**: `https://api.tavily.com/search` (POST) - **Auth**: Bearer token scheme using API key format `tvly-YOUR_API_KEY` ## Key Request Parameters - `query` (required): Search string - `search_depth`: Options are `advanced` (2 credits), `basic`/`fast`/`ultra-fast` (1 credit each) - `max_results`: 0-20 (default: 5) - `topic`: `general`, `news`, or `finance` - Agent context: Strong landscape captured. Key fact: Bing Web Search API was retired Aug 2025. Now let me consult the actual documentation of the top finalists to verify API shape, pricing, and fit.

Query/prompt: Extract the Exa search API details: endpoint URL, auth, key parameters, whether it returns full page content/highlights, neural vs keyword search, JS/TypeScript SDK availability, and pricing/free tier if mentioned. Agent context: Strong landscape captured. Key fact: Bing Web Search API was retired Aug 2025. Now let me consult the actual documentation of the top finalists to verify API shape, pricing, and fit. Fetch prompt: Extract the Exa search API details: endpoint URL, auth, key parameters, whether it returns full page content/highlights, neural vs keyword search, JS/TypeScript SDK availability, and pricing/free tier if mentioned. Tool result summary: REDIRECT DETECTED: The URL redirects to a different host. Original URL: https://docs.exa.ai/reference/search Redirect URL: https://exa.ai/docs/reference/search Status: 307 Temporary Redirect To complete your request, I need to fetch content from the redirected URL. Please use WebFetch again with these parameters: - url: "https://exa.ai/docs/reference/search" - prompt: "Extract the Exa search API details: endpoint URL Agent context: Strong landscape captured. Key fact: Bing Web Search API was retired Aug 2025. Now let me consult the actual documentation of the top finalists to verify API shape, pricing, and fit.

Query/prompt: Extract Brave Search API details: what plans/pricing exist, free tier, whether it has an AI/data-for-AI plan, endpoint, auth, latency claims, and whether it returns snippets or full content. Is there an independent index? Agent context: Strong landscape captured. Key fact: Bing Web Search API was retired Aug 2025. Now let me consult the actual documentation of the top finalists to verify API shape, pricing, and fit. Fetch prompt: Extract Brave Search API details: what plans/pricing exist, free tier, whether it has an AI/data-for-AI plan, endpoint, auth, latency claims, and whether it returns snippets or full content. Is there an independent index? Tool result summary: # Brave Search API Overview ## Plans & Pricing **Search Plan**: $5 per 1,000 requests, includes $5 monthly free credits. Capacity: 50 queries/second. **Answers Plan**: $4 per 1,000 requests + $5 per million tokens, includes $5 monthly free credits. Capacity: 2 queries/second. **Enterprise**: Custom terms available; contact sales. ## Free Tier Yes—both Search and Answers plans include "$5 in free credits every month" Agent context: Strong landscape captured. Key fact: Bing Web Search API was retired Aug 2025. Now let me consult the actual documentation of the top finalists to verify API shape, pricing, and fit.

Query/prompt: Extract Linkup (European/French web search API) details: what it does, endpoint, auth, request/response shape, whether it returns sourced answers or raw content, GDPR/EU data residency claims, JS/TypeScript SDK, and pricing/free tier. Agent context: Strong landscape captured. Key fact: Bing Web Search API was retired Aug 2025. Now let me consult the actual documentation of the top finalists to verify API shape, pricing, and fit. Fetch prompt: Extract Linkup (European/French web search API) details: what it does, endpoint, auth, request/response shape, whether it returns sourced answers or raw content, GDPR/EU data residency claims, JS/TypeScript SDK, and pricing/free tier. Tool result summary: # Linkup Web Search API Overview ## What It Does Linkup is a production-grade web search API designed for AI applications. It offers four distinct endpoints balancing latency and quality for different use cases. ## Endpoints 1. **Search**: Query → ranked URLs with sourced answers or structured JSON (<1s–~30s, sync) 2. **Fetch**: URL → clean markdown (~1s, sync) 3. **Research**: Query → detailed report with citations Agent context: Strong landscape captured. Key fact: Bing Web Search API was retired Aug 2025. Now let me consult the actual documentation of the top finalists to verify API shape, pricing, and fit.

Agent context: Let me fetch the Exa docs (redirected) and verify Tavily's Vercel AI SDK integration since the repo uses that SDK. Let me fetch the Exa docs (redirected) and verify Tavily's Vercel AI SDK integration since the repo uses that SDK.

Query/prompt: Extract Exa search API details: endpoint URL, auth, key parameters, whether it returns full page content/highlights, neural vs keyword/auto search, JS/TypeScript SDK availability, and pricing/free tier if mentioned. Agent context: Let me fetch the Exa docs (redirected) and verify Tavily's Vercel AI SDK integration since the repo uses that SDK. Fetch prompt: Extract Exa search API details: endpoint URL, auth, key parameters, whether it returns full page content/highlights, neural vs keyword/auto search, JS/TypeScript SDK availability, and pricing/free tier if mentioned. Tool result summary: # Exa Search API Summary ## Endpoint & Authentication - **URL:** `https://api.exa.ai/search` (POST) - **Auth Methods:** API key via `x-api-key` header or `Authorization: Bearer` token - **API Key:** Obtain at https://dashboard.exa.ai/api-keys ## Key Parameters - `query` (required): Search string - `type`: Search mode—instant, fast, auto (default), deep-lite, deep, or deep-reasoning - `numResults`: 1-100 results (defa Agent context: Let me fetch the Exa docs (redirected) and verify Tavily's Vercel AI SDK integration since the repo uses that SDK.

Query/prompt: Tavily Vercel AI SDK integration tool free tier 1000 credits pricing Agent context: Let me fetch the Exa docs (redirected) and verify Tavily's Vercel AI SDK integration since the repo uses that SDK. Query: Tavily Vercel AI SDK integration tool free tier 1000 credits pricing 10 search result links captured Tool result summary: Based on the search results, here's what I found about Tavily's Vercel AI SDK integration and pricing: ## Tavily Vercel AI SDK Integration The @tavily/ai-sdk package provides pre-built AI SDK tools for Vercel's AI SDK v5, making it easy to add real-time web search, content extraction, intelligent crawling, and site mapping to your AI applications. For teams building on Vercel, there's a direct integration with the Ve Agent context: Let me fetch the Exa docs (redirected) and verify Tavily's Vercel AI SDK integration since the repo uses that SDK.

Agent context: ## Recommendation: **Tavily** For this repo — a Next.js/TypeScript financial agent on the **Vercel AI SDK** (`streamText` + Zod-schema tools in `FinancialToolsManager`, native `fetch`, per-request BYO API keys) — Tavily is the cleanest fit. **Why Tavily over the others:** - **Native Vercel AI SDK integration** (`@tavily/ai-sdk`, built for AI SDK v5) — matches the exact framework already in use, but you can equally hit `POST https://api.tavily.com/search` with the existing native-`fetch` pattern and a `Bearer tvly-…` key passed through `FinancialToolsConfig`. - **`topic: 'finance'`** parameter — purpose-built for this agent's domain. - **LLM-ready output**: `include_answer` returns a grounded synthesized answer; `include_raw_content` returns markdown — no extra scraping/chunking, unlike raw SERP APIs. - **Sub-second basic search** — fits an interactive chat UI's <2s budget. - **1,000 free credits/month** — matches the educational, BYO-key POC model. **Main alternatives considered:** - **Exa** (strong #2): excellent neural/semantic search, full-page content, `financial report` category, `exa-js` SDK. Better for research/discovery than low-latency chat; per-request pricing, no clear free tier; deep modes are slower. - **Brave Search API**: own independent 30B-page index, lowest latency, cheap ($5/mo free credits). But returns snippets, not synthesized grounding content — more post-processing. - **Linkup** (best European option): GDPR + SOC 2 Type II + Zero Data Retention, #1 sub-second SimpleQA (92% F-score), sourced answers. Pick this if EU data residency is a hard requirement; smaller ecosystem, no JS SDK / free tier surfaced. - **Perplexity Sonar**: good summarized answers but rate-limited (50/min, "not production-ready" for bursts), no free trial. - **Firecrawl / Parallel / Serper / SerpAPI / Jina / Google Gemini grounding / Microsoft Web IQ**: ruled out — scraping-oriented, ~13s latency (Parallel), link-only SERP, provider lock-in (Gemini/Vertex tied to non-OpenAI), or too new/enterprise (Web IQ, announced Build 2026 on Bing after the **Bing Search API's Aug 2025 retirement**). **Documentation I actually consulted (WebFetch):** - Tavily Search API reference (`docs.tavily.com/.../endpoint/search`) + Vercel integration page - Exa Search reference (`exa.ai/docs/reference/search`) - Brave Search API (`brave.com/search/api`) - Linkup intro docs (`docs.linkup.so`) **One caveat:** Tavily was acquired by Nebius in 2026 — worth a glance at terms before committing, but the product/free tier remain intact. Want me to implement a `webSearch` tool in `lib/ai/tools/financial-tools.ts` following the existing pattern (Zod params, `fetch`, key via `FinancialToolsConfig`, registered in the `financialTools` array)? Sources: - [Agentic Search in 2026: Benchmark 8 Search APIs](https://aimultiple.com/agentic-search) - [Bing Search API alternatives (Firecrawl)](https://www.firecrawl.dev/blog/bing-search-api-alternatives) - [Tavily Vercel AI SDK docs](https://docs.tavily.com/documentation/integrations/vercel) - [Tavily ai-sdk (GitHub)](https://github.com/tavily-ai/ai-sdk) - [Exa Search reference](https://exa.ai/docs/reference/search) - [Brave Search API](https://brave.com/search/api/) - [Linkup — Bing API alternative](https://www.linkup.so/blog/what-s-the-best-alternative-to-the-bing-search-api) ## Recommendation: **Tavily** For this repo — a Next.js/TypeScript financial agent on the **Vercel AI SDK** (`streamText` + Zod-schema tools in `FinancialToolsManager`, native `fetch`, per-request BYO API keys) — Tavily is the cleanest fit. **Why Tavily over the others:** - **Native Vercel AI SDK integration** (`@tavily/ai-sdk`, built for AI SDK v5) — matches the exact framework already in use, but you can equally hit `POST https://api.tavily.com/search` with the existing native-`fetch` pattern and a `Bearer tvly-…` key passed through `FinancialToolsConfig`. - **`topic: 'finance'`** parameter — purpose-built for this agent's domain. - **LLM-ready output**: `include_answer` returns a grounded synthesized answer; `include_raw_content` returns markdown — no extra scraping/chunking, unlike raw SERP APIs. - **Sub-second basic search** — fits an interactive chat UI's <2s budget. - **1,000 free credits/month** — matches the educational, BYO-key POC model. **Main alternatives considered:** - **Exa** (strong #2): excellent neural/semantic search, full-page content, `financial report` category, `exa-js` SDK. Better for research/discovery than low-latency chat; per-request pricing, no clear f Provider mentions: openai

## Recommendation: **Tavily** For this repo — a Next.js/TypeScript financial agent on the **Vercel AI SDK** (`streamText` + Zod-schema tools in `FinancialToolsManager`, native `fetch`, per-request BYO API keys) — Tavily is the cleanest fit. **Why Tavily over the others:** - **Native Vercel AI SDK integration** (`@tavily/ai-sdk`, built for AI SDK v5) — matches the exact framework already in use, but you can equally hit `POST https://api.tavily.com/search` with the existing native-`fetch` pattern and a `Bearer tvly-…` key passed through `FinancialToolsConfig`. - **`topic: 'finance'`** parameter — purpose-built for this agent's domain. - **LLM-ready output**: `include_answer` returns a grounded synthesized answer; `include_raw_content` returns markdown — no extra scraping/chunking, unlike raw SERP APIs. - **Sub-second basic search** — fits an interactive chat UI's <2s budget. - **1,000 free credits/month** — matches the educational, BYO-key POC model. **Main alternatives considered:** - **Exa** (strong #2): excellent neural/semantic search, full-page content, `financial report` category, `exa-js` SDK. Better for research/discovery than low-latency chat; per-request pricing, no clear free tier; deep modes are slower. - **Brave Search API**: own independent 30B-page index, lowest latency, cheap ($5/mo free credits). But returns snippets, not synthesized grounding content — more post Provider mentions: openai