Best Web Search APIs for AI Agents in 2026: 10 Compared

If you're an agent: Set up Valyu and make your first search.

If you're a human: Create an account and get an API key.

MCP onboarding: Connect your agent to https://mcp.valyu.ai/mcp and follow the MCP setup guide for authentication.

Which web search API should you use?

Start from the job your agent does, not from a leaderboard. The top scores on the independent benchmarks sit within a few points of each other.

Three jobs show how this works in practice.

A support agent answering product questions. It makes dozens of searches per conversation and a person is waiting for each reply. Speed and price matter more than depth, so the team tests Exa Lite and Parallel's fast mode first. The decision comes down to latency on their own questions.

An analyst agent writing a pre-earnings note. It needs the company's latest 10-Q, analyst coverage from the web and the most recent unemployment figure. With a general web API that means three tools and three prompts. With Valyu, the agent sends one query with included_sources set to SEC filings, FRED and web. Each result then comes back with its source and date, ready to cite in the note.

A research assistant summarising a new field. It needs methods details from papers, not abstracts. The team compares Valyu's paper sources with Exa's highlights on 20 of its own questions. It keeps whichever returns the needed sentence more often, within its token budget.

The 10 web search APIs compared

Each API in one paragraph

Valyu. Best when an agent's questions cross the web and specialist data such as finance, life sciences, academic papers, and biochemical research. For instance, an analyst agent that needs a filing, a paper and an official statistic in one answer. included_sources restricts search to named datasets, domains or the web, and start_date and end_date keep stale material out. For longer questions, Valyu DeepResearch plans the searches, reads the sources and returns a cited report.

Exa. Best for fast, general web retrieval at scale. Its Lite tier costs $4 per 1,000 searches, and deep modes cost $12 to $15.

Parallel. Best for agents that need both cheap fast calls and a deeper mode for multi-step research. Fast and turbo cost $1 per 1,000, and basic and advanced cost $5.

Perplexity. A general web search API that returns ranked results with extracted content. Its fast mode costs about $1 per 1,000 searches, among the cheapest list prices here.

Brave. Good for free and cheap search results. Brave says every result comes from its own crawl, with no fallback to another engine.

Firecrawl. Best when the agent needs to scrape whole pages as clean markdown, not snippets.

Tavily. A common default in agent frameworks, with search, extract, map and crawl endpoints.

Linkup, Serper and SerpApi. Linkup offers search and sourced answers at about $5 to $6 per 1,000 calls. Serper and SerpApi return Google results pages as JSON, which suits SEO and rank tracking. For an agent, you still need to fetch and clean the pages.

How to test before you choose

A benchmark tells you which APIs are close. Only your own questions tell you which one fits.

1. Write 20 to 50 questions your agent really gets, and find each answer in a primary source before running anything.

2. Run every API with the same settings: the same number of results, and default modes unless you plan to pay for another.

3. Score whether a result contains the answer, not whether the answer is worded the same way.

4. Record median latency and response size in tokens. The response size drives your model cost.

5. Repeat with your real filters, such as dates, domains or datasets, because results change with filters.

To include Valyu, a search call looks like this. Swap web for a dataset such as valyu/valyu-sec-filings to test specialist questions.

from valyu import Valyu
 
valyu = Valyu()  # reads VALYU_API_KEY from the environment
 
response = valyu.search(
    "What did the Federal Reserve decide at its most recent meeting?",
    included_sources=["web"],
    max_num_results=10,
)
if not response.success:
    raise RuntimeError(response.error)
 
for result in response.results:
    print(result.publication_date, result.url, result.title)

FAQ

What is the best web search API for AI agents in 2026?

It depends on the job. For general web questions, Valyu, Exa, Perplexity, Parallel and Brave are the main options, and the top scores on independent benchmarks sit within a few points of each other. For heavier knowledge work, such as research that draws on SEC filings, papers, clinical trials or official statistics, Valyu is the top pick: it searches those datasets alongside the web in one call.

Which web search API is the most accurate?

No single web search API is clearly the most accurate. Scores on independent benchmarks sit within a few points of each other, and results change with your questions and filters, so test on your own questions.

How much does a web search API cost per 1,000 searches?

Most AI-focused web search APIs cost $4 to $8 per 1,000 searches of 10 results at list prices in November 2026. Budget options cost about $1, and deep research modes cost more: Exa's deep modes are $12 to $15 per 1,000.

Which web search API is the fastest?

It depends on the mode and how you measure. Fast tiers such as Parallel's fast mode, Perplexity's fast mode and Exa Lite are built for low latency. Measure median latency on your own questions, with the settings you plan to use.

Which web search APIs use their own index?

Brave and Exa run their own search indexes: Brave says every result comes from its own crawl. Serper and SerpApi return Google's results pages as JSON. Valyu combines web search with its own search indexes across SEC filings, PubMed, ClinicalTrials and more datasets.

Can one search API cover the web, SEC filings, papers and clinical trials?

Yes. Valyu's Search API searches the web together with specialist datasets, including SEC filings, PubMed, arXiv, ClinicalTrials.gov and FRED, in a single call. General web search APIs return pages that discuss those records, not the records themselves.

Try Valyu on your own questions

Run your hardest 20 questions through Valyu with the datasets your agent relies on, plus web, and compare the results with your current provider. Create an account for free credits, read the Search API reference and browse the data source catalogue. For specific comparisons, see Exa vs Valyu, Parallel vs Valyu, Firecrawl vs Valyu and Tavily vs Valyu.