The most important infrastructure choices in AI agent design are web search and content retrieval. An agent without reliable access to live web data is effectively operating on stale knowledge — a hard limitation for any production deployment handling research, lead enrichment, competitive intelligence, or real-time monitoring. By 2026, search and fetch APIs have matured significantly, and purpose-built tools are replacing older patterns of passing raw Google SERP data directly to a language models.
This article reviews the best search and retrieve APIs. It is based upon evaluations relating to output format (format), agent-native designs, token efficiency and generosity of free tiers.
TinyFish
TinyFish It is a major player in the space, and one of the more directly native agents. Its Search and Fetch endpoints are free with generous rate limits — one API key, no credit card. Search and Fetch are included with the free plan. Search operates at api.search.tinyfish.ai, returning rank-stable structured JSON tuned for agent retrieval rather than human browsing. TinyFish states p50 Search latency under 0.5 seconds — fast enough to sit inside an agent’s tool loop without degrading the user experience. Fetch operates at api.fetch.tinyfish.ai, running a real full-browser render on any URL — including JavaScript-heavy SPAs, dynamic content, and anti-bot pages — and returning clean markdown, JSON, or HTML. Failed URLs can be accessed for free.
It is important to note that the token’s efficiency will be a key differentiator. Most native fetch tools — and the fetch built into LLM clients — return raw HTML: scripts, navigation, ads, cookie banners. TinyFish All of this is removed before content gets to the model. As a result, Fetch’s token usage per page drops and LLM costs are lower per call. Platform operates end-to-end its custom Chromium Fleet without middleware. This is how both free pricing and output quality are enabled. Importantly, these are the same endpoints powering production agent workloads — not a degraded demo tier. You can continue to use the API key and dashboard when you move beyond our free plan.
TinyFish The REST API is the direct access. Direct access is via REST API (api.search.tinyfish.ai and api.fetch.tinyfish.ai). MCP is supported by a JSON config plug-in that can be used with Claude, Cursor Codex desktop ChatGPT or other MCP aware clients. The CLI (npm install -g @tiny-fish/cli) writes results directly to the filesystem rather than piping through the model’s context window, keeping token usage low and output structured. The agent Skill (npx skills add github.com/tinyfish-io/tinyfish-cookbook –skill tinyfish) teaches the agent when to call Search vs. Fetch and how to use each — one-line install, works with Claude Code, Codex, Cursor, OpenCode, and Antigravity. TypeScript and Python are also supported.
The following frameworks and agent harnesses are integrated: Claude Code (via the n8n-nodes-tinyfish community node), Dify (TinyFish Web Agent plugin in the Dify Marketplace), Cline, Cursor and CrewAI. The platform integrations include n8n via the n8n nodes-tinyfish Community Node, Dify (TinyFish Web Agent plug-in in the Dify Marketplace), Vercel Skills. ChatGPT Apps and MCP Apps will also be supported.
Tavily
Tavily provides fast APIs to search the web and extract content. The Researcher plan is free and includes 1,000 API credits per month — enough for prototyping and light evaluation. The paid tiers are as follows: Project is $30/month (4000 credits), Bootstrap is $100/month (15000 credits), and Startup $220/month (38,000 credit). There is also a pay-per-credit option at $0.008 with no obligation to commit monthly. The credits reset every month and don’t rollover.
Tavily’s deep integration with LangChain, LlamaIndex and pre-processing layer returns relevance-filtered and ranked snippets instead of raw SERP results. Nebius has announced that it will acquire Tavily by February 2026. This announcement raised concerns among teams regarding future pricing and roadmap directions when evaluating infrastructure dependency. Tavily is still a great tool for getting from zero to working prototypes and it has a wide range of LLM integrations.
Firecrawl
Firecrawl converts any URL into clean, LLM-ready markdown or structured JSON, and is agent-ready out of the box — connecting to any MCP client with a single command and supporting media parsing for web-hosted PDFs and DOCX files alongside click, scroll, and interact actions before content extraction. It covers four distinct operating modes: Scrape (single URL to markdown or JSON), Crawl (recursive domain crawl), Map (URL discovery without fetching content), and an Agent endpoint for natural-language-driven data extraction.
Free plan gives 500 credits that can be used to run proofs of concept and test API, but cannot be allocated for a regular production. Plans start at $16/month for Hobby (3,000 credits/month), and go up to $83/month for Standard (100,000 credits/month billed annually). Standard plans do not allow credits to rollover from month-to-month. Firecrawl’s open-source license is AGPL-3.0. This is an important differentiator, especially for teams that have data sovereignty needs. LangChain is supported by a wide range of frameworks: CrewAI, Flowise and Dify are all natively integrated. Install the MCP server with npx –y firecrawl-mcp. It works in Claude Code (Winsurf), Cursor (Cursor), and VS Code.
Exa
Exa Search is approached in a completely different way. Cursor’s @web uses Exa instead of keyword matching to better understand the meaning behind queries. The Exa @web feature is ideally suited for RAG systems, where semantics are more important than newness and pipelines, which require finding conceptually similar documents, rather than only the latest result.
The pricing structure for Exa’s billing is quite simple. Search with Contents is now bundled with text and highlighter content for 10 or less results. Before, content extraction used to be billed separately. This free level allows for up to 1,000 monthly requests. A search with contents costs $7 per 1,000 queries. Exa offers an official MCP Server that supports Claude Desktop and Claude Code as well as VS Code Windsurf CLI, Windsurf, Gemini CLI,
Jina AI Reader
Jina Reader will convert any URL in LLM friendly markdown by prepending https://r.jina.ai/. Search the web via https://s.jina.ai/. Reader API usage is completely free (no API keys required). The key unlocks higher rates and then charges based on the content length, not per request. The new API keys come with 10,000,000 tokens free upon signup. Elastic acquired Jina AI and has now committed to the continued development and enhancement of Reader, Embeddings & Reranker APIs.
It is the simplest way to use the service: there’s no SDK or configuration required, only a prefix in url. Nevertheless, there are some limitations. Jina is not able to circumvent antibot systems, and returns an error when it’s blocked. Jina Reader’s own integration with frameworks is less than Tavily, Firecrawl and Exa. Jina AI however maintains integrations for its embeddings products. The search endpoint of Jina AI (s.jina.ai), fetches all five top results, rather than returning a configurable list.
Serper
Serper provides raw Google SERP results at a very affordable price. It costs just $1 for 1,000 queries with the Starter plan, but drops to only $0.30 for 1,000 in the plans that offer higher volumes. All new accounts get 2,500 queries free, no credit cards required. The returned structured JSON includes SERP-specific items such as answer boxes and knowledge graphs. Serper does not handle content extraction or page fetching — it is a search results API only. Serper is usually used for searching, and Jina Reader/TinyFish Fetch to retrieve content.
Brave Search API
Brave Search uses a completely independent index with over 40 billion webpages, without Google or Bing dependence. This makes it an excellent option for teams who have privacy and compliance needs. Brave Search uses an independent search index, offers privacy controls that are strong and Zero Data Retention is available to enterprise customers. Also, it ships an official MCP-server supporting search for web, news, images, video and local business.
Brave has recently changed its zero-cost plan to a system of credit billing. New users receive $5 in monthly credits — roughly 1,000 queries — before their card is charged at $5 per 1,000 requests. The old free users are grandfathered and will continue to have access. Brave does not offer a fetch or content extraction endpoint — it is a search-only provider, best suited for deployments where index independence and privacy controls are hard requirements.
What you need to know
- TinyFish wins both in search and fetch. This is an excellent full-stack retriever for developers that need Search, Fetch and native integrations within one platform. The free tier provides 500 starter credits so you can evaluate the endpoints.
- Tavily is still the fastest way to achieve production-grade search for agents. It also has the most extensive LLM frameworks integrations of any product in this category. However, its credit levels reduce headroom when scaled.
- Exa excels at semantic retrieval, and in coding agent search where the neural matching surface results which keyword engines may miss.
- Firecrawl is a great choice for teams who want to self-host an open source foundation and crawl heavy extraction workflows.
- Jina Reader has the least friction when it comes to converting URLs into markdown. It only requires a URL Prefix.
- Serper offers cost-effectiveness for Google SERP Data at large volumes.
- Brave offers a robust independent index option, with an MCP-certified server.
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This post is about Top Search and Fetch APIs for Building AI Agents in 2026: Tools, Tradeoffs, and Free Tiers The first time that appeared on MarkTechPost.
