--- title: "Best Web Search APIs for AI Agents: Agentic Search Comparison, Independently Benchmarked (2026) | Openbenchmarks" description: "Best web search API by accuracy in this agentic search benchmark: Perplexity, 77.3%. Fastest search: Parallel turbo, 333ms average search time. Cheapest search: TinyFish, $0 per 1,000 queries within plan limits. Compare the best web search APIs for AI agents from 10 providers, including Exa, Tavily, Brave, Parallel, Firecrawl, on the same 100 developer questions. Independent comparison for agentic search and RAG, with official API docs." url: https://openbenchmarks.com/web-search/best-web-search-api-for-ai-agents-for-fact-finding --- [](https://openbenchmarks.com/) [← web search benchmark](https://openbenchmarks.com/web-search) [benchmarks](https://openbenchmarks.com/) / [web-search](https://openbenchmarks.com/web-search) / [best for AI agents](https://openbenchmarks.com/web-search/best-web-search-api-for-ai) / agentic search independent benchmark · open source · 2026 # Best Web Search APIs for AI Agents: Agentic Search Comparison & Benchmark (2026) Best web search API by accuracy in this agentic search benchmark: Perplexity, 77.3%. Fastest search: Parallel turbo, 333ms average search time. Cheapest search: TinyFish, $0 per 1,000 queries within plan limits. Compare the best web search APIs for AI agents from 10 providers, including Exa, Tavily, Brave, Parallel, Firecrawl, on the same 100 developer questions. Independent comparison for agentic search and RAG, with official API docs. Agentic search turns retrieved evidence into an answer or completed task. Compare accuracy, speed and API cost together to choose a web search API for your AI agent. **Compared on the same 100 developer questions.** 14 API configurations from 10 providers. Accuracy means grounded task completion. Pricing covers search requests; LLM costs are additional. [**Compare the agentic search results →** ](#ranking) · [Compare pricing per 1,000 queries →](#pricing) \[01\] comparison ## Agentic Search: API Comparison Benchmarked Ranked by accuracy on the developer benchmark’s search-only board. Agents use the content returned by search. Compare average search time, price per 1,000 queries and total task cost on the same row, with the configuration and official API docs beside each result. __Agentic search API comparison: ranked by accuracy (task completion), with speed and cost per 1,000 queries__ | Rank | API & configuration | Task completion | Average search time | Search / 1,000 queries | Median task cost | Official docs | | --- | --- | --- | --- | --- | --- | --- | | 1 | Perplexity /search search\_context\_size=lowperplexity-low | **77.3%** ± 2.1% SD | 957ms | [$5.00](https://docs.perplexity.ai/docs/getting-started/pricing) | $0.059 LLM + API spend | [Official docs ↗](https://docs.perplexity.ai/docs/search/quickstart) | | 2 | Firecrawl /v2/search firecrawl-search | **70.3%** ± 1.5% SD | 2.87s | [$5.00](https://www.firecrawl.dev/pricing) | $0.059 LLM + API spend | [Official docs ↗](https://docs.firecrawl.dev/api-reference/v2-search) | | 3 | Parallel fast /v1/search mode=fastparallel-fast | **66.7%** ± 1.5% SD | 953ms | [$1.00](https://docs.parallel.ai/getting-started/pricing) | $0.054 LLM + API spend | [Official docs ↗](https://docs.parallel.ai/api-reference/search/search) | | 4 | Exa fast /search type=fastexa-fast | **66.3%** ± 1.5% SD | 626ms | [$7.00](https://exa.ai/pricing?tab=api) | $0.103 LLM + API spend | [Official docs ↗](https://docs.exa.ai/reference/search) | | 5 | Parallel turbo /v1/search mode=turboparallel-turbo | **64.7%** ± 2.1% SD | 333ms | [$1.00](https://docs.parallel.ai/getting-started/pricing) | $0.059 LLM + API spend | [Official docs ↗](https://docs.parallel.ai/api-reference/search/search) | | 6 | Exa instant /search type=instantexa-instant | **61.3%** ± 2.9% SD | 447ms | [$7.00](https://exa.ai/pricing?tab=api) | $0.105 LLM + API spend | [Official docs ↗](https://docs.exa.ai/reference/search) | | 7 | TinyFish api.search.tinyfish.ai tinyfish-search | **59.3%** ± 1.5% SD | 2.15s | [$0](https://www.tinyfish.ai/pricing) Within plan limits | $0.035 LLM + API spend | [Official docs ↗](https://docs.tinyfish.ai/search-api) | | 8 | Tavily basic /search search\_depth=basictavily-basic | **51.0%** ± 5.3% SD | 1.72s | [$8.00](https://docs.tavily.com/documentation/api-credits) | $0.097 LLM + API spend | [Official docs ↗](https://docs.tavily.com/documentation/api-reference/endpoint/search) | | 9 | Nimble lite /v2/search search\_depth=lite · full\_content=false · focus=generalnimble-lite | **46.7%** ± 3.8% SD | 3.15s | [$1.10](https://www.nimbleway.com/pricing) | $0.043 LLM + API spend | [Official docs ↗](https://docs.nimbleway.com/api-reference/search/search) | | 10 | Linkup fast /v1/search depth=fastlinkup-fast | **43.3%** ± 1.1% SD | 1.39s | [$5.00](https://docs.linkup.so/pages/documentation/platform/pricing) | $0.100 LLM + API spend | [Official docs ↗](https://docs.linkup.so/api/search) | | 11 | Nimble standard /v2/search search\_depth=standard · full\_content=false · focus=generalnimble-standard | **42.3%** ± 2.5% SD | 878ms | [$5.00](https://www.nimbleway.com/pricing) | $0.079 LLM + API spend | [Official docs ↗](https://docs.nimbleway.com/api-reference/search/search) | | 12 | You highlights /v1/search extraction\_mode=highlightsyou-highlights | **41.3%** ± 3.1% SD | 596ms | [$5.00](https://you.com/docs/administration/billing) | $0.097 LLM + API spend | [Official docs ↗](https://you.com/docs/api-reference/search/v1-search) | | 13 | You highlights (knowledge=core) /v1/search extraction\_mode=highlights · knowledge=coreyou-highlights-core | **38.3%** ± 3.2% SD | 677ms | [$5.00](https://you.com/docs/administration/billing) | $0.096 LLM + API spend | [Official docs ↗](https://you.com/docs/api-reference/search/v1-search) | | 14 | Brave /res/v1/llm/context brave-search | **38.0%** ± 2.6% SD | 523ms | [$5.00](https://api-dashboard.search.brave.com/documentation/pricing) | $0.082 LLM + API spend | [Official docs ↗](https://api-dashboard.search.brave.com/documentation/services/llm-context) | [View the full developer search benchmark →](https://openbenchmarks.com/web-search-for-coding-agents) \[02\] pricing ## Agentic search API pricing per 1,000 queries TinyFish has the lowest recorded search price at $0 per 1,000 queries within plan limits. The lowest positive rate is $1.00 per 1,000 queries for Parallel fast / Parallel turbo. Rates come from the search-only board's recorded list prices. Official pricing links explain current plans and billing terms. LLM costs are additional. An agent can issue several search requests per task. Multiply the per-1,000 rate by your total query volume divided by 1,000, then add model spend. Median task cost includes both LLM and API spend in the measured run. TinyFish’s recorded free plan allows 30 requests per minute and 500 per hour. Use official pricing links for current plan limits and configuration-specific rates. [Compare the cheapest search APIs →](https://openbenchmarks.com/web-search/cheapest-search-api) \[03\] methodology ## How we benchmark agentic search accuracy and speed The benchmark uses 100 held-out developer documentation tasks. The agent works with the content returned by search; the question set, model and scoring protocol stay fixed while the search API changes. The primary results on this page use the search-only board. Accuracy here means grounded task completion: how often the agent successfully completes a developer documentation task using retrieved evidence. Results are reported as mean and sample standard deviation across three runs of 100 tasks. This metric measures the complete agent answer supported by search. Average search time measures the search request. Cost per 1,000 queries is the board’s recorded API list price. Median task cost includes model and API spend over the complete task. These measurements give you a starting point for testing your own AI agent or RAG workload. Latest benchmark query: 15 Sept 2026. Editorial changes to this page are dated separately. Open source runner and scoring: [openbenchmarks-labs/web-search-for-coding-agents](https://github.com/openbenchmarks-labs/web-search-for-coding-agents) · [Full methodology and results →](https://openbenchmarks.com/web-search-for-coding-agents) \[04\] choose an API ## Exa vs Tavily vs Brave vs Parallel vs Firecrawl Start with accuracy on the same developer questions, then compare average search time, search cost per 1,000 queries and median task cost. Each row links to the official API docs and identifies the configuration tested. Choose the tradeoff that fits your agent's accuracy target, latency budget and query volume. [Exa vs Tavily](https://openbenchmarks.com/web-search/exa-vs-tavily) · [Tavily vs Parallel](https://openbenchmarks.com/web-search/tavily-vs-parallel) · [Brave Search vs Exa](https://openbenchmarks.com/web-search/brave-vs-exa) · [Linkup vs Firecrawl](https://openbenchmarks.com/web-search/linkup-vs-firecrawl) · [Parallel vs Exa](https://openbenchmarks.com/web-search/parallel-vs-exa) · [Linkup vs Tavily](https://openbenchmarks.com/web-search/linkup-vs-tavily) · [Exa vs Perplexity](https://openbenchmarks.com/web-search/exa-vs-perplexity) · [Brave Search vs Tavily](https://openbenchmarks.com/web-search/brave-vs-tavily) · [Exa vs Firecrawl](https://openbenchmarks.com/web-search/exa-vs-firecrawl) · [Brave Search vs Parallel](https://openbenchmarks.com/web-search/brave-vs-parallel) · [Perplexity vs Parallel](https://openbenchmarks.com/web-search/perplexity-vs-parallel) · [You vs Parallel](https://openbenchmarks.com/web-search/you-com-vs-parallel) · [Linkup vs Parallel](https://openbenchmarks.com/web-search/linkup-vs-parallel) · [Firecrawl vs Parallel](https://openbenchmarks.com/web-search/firecrawl-vs-parallel) · [TinyFish vs Parallel](https://openbenchmarks.com/web-search/tinyfish-vs-parallel) · [Exa alternatives](https://openbenchmarks.com/web-search/exa-alternatives) [Compare deep search for AI agents →](https://openbenchmarks.com/web-search/best-web-search-api-for-ai-agents-for-deep-research) · [Compare web search APIs for developers →](https://openbenchmarks.com/web-search/best-web-search-api-for-developers) · [Best web search APIs for AI →](https://openbenchmarks.com/web-search/best-web-search-api-for-ai) \[05\] FAQ ## Best web search APIs: agentic search questions ### What is the best web search API for AI agents in this benchmark? Best web search API by accuracy in this agentic search benchmark: Perplexity, 77.3%. Fastest search: Parallel turbo, 333ms average search time. Cheapest search: TinyFish, $0 per 1,000 queries within plan limits. Accuracy is measured as grounded task completion on 100 developer questions, using the same agent model and scoring protocol for every API. ### What is agentic search, and how is it benchmarked here? An agent uses web search results to find evidence and complete a task. This comparison uses the developer benchmark's search-only board: agents work from the content returned by search and can issue multiple searches. The same questions, model and scoring protocol are used across API configurations. ### What is the fastest web search API in this agentic search benchmark? Parallel turbo has the fastest average search time at 333ms. This measures a search request; the complete agent task also includes reasoning and any repeated searches. ### What is the cheapest web search API per 1,000 queries? TinyFish has the lowest recorded search price at $0 per 1,000 queries within plan limits. The lowest positive rate is $1.00 per 1,000 queries for Parallel fast / Parallel turbo. Rates come from the search-only board's recorded list prices. Official pricing links explain current plans and billing terms. LLM costs are additional. ### What does accuracy mean in the agentic search comparison? Accuracy here means grounded task completion: how often the agent successfully completes a developer documentation task using retrieved evidence. Results are reported as mean and sample standard deviation across three runs of 100 tasks. This metric measures the complete agent answer supported by search. ### How do I budget for agentic search and RAG? Estimate the search requests your agent makes per task, multiply by task volume and the API price per 1,000 queries, then add LLM spend. The table also shows measured median task cost including both model and API costs. For RAG, validate retrieval coverage, source support and final answer quality on your own questions. ### How should I compare Exa, Tavily, Brave, Parallel and Firecrawl? Start with accuracy on the same developer questions, then compare average search time, search cost per 1,000 queries and median task cost. Each row links to the official API docs and identifies the configuration tested. Choose the tradeoff that fits your agent's accuracy target, latency budget and query volume. ### How does search compare with search and scrape for AI agents? This page ranks agents using the content returned by search. The full developer benchmark also has a search + scrape board, where agents can read additional page content. Compare that board when your application enables scraping after search. Openbenchmarks open source code · public sample · held-out scoring set [← best web search API for AI agents](https://openbenchmarks.com/web-search/best-web-search-api-for-ai) [web search benchmark](https://openbenchmarks.com/web-search) [Exa vs Tavily](https://openbenchmarks.com/web-search/exa-vs-tavily) [Tavily vs Parallel](https://openbenchmarks.com/web-search/tavily-vs-parallel) [Brave Search vs Exa](https://openbenchmarks.com/web-search/brave-vs-exa) [Linkup vs Firecrawl](https://openbenchmarks.com/web-search/linkup-vs-firecrawl) [Parallel vs Exa](https://openbenchmarks.com/web-search/parallel-vs-exa) [Linkup vs Tavily](https://openbenchmarks.com/web-search/linkup-vs-tavily) [Exa vs Perplexity](https://openbenchmarks.com/web-search/exa-vs-perplexity) [Brave Search vs Tavily](https://openbenchmarks.com/web-search/brave-vs-tavily) [Exa vs Firecrawl](https://openbenchmarks.com/web-search/exa-vs-firecrawl) [Brave Search vs Parallel](https://openbenchmarks.com/web-search/brave-vs-parallel) [Perplexity vs Parallel](https://openbenchmarks.com/web-search/perplexity-vs-parallel) [You vs Parallel](https://openbenchmarks.com/web-search/you-com-vs-parallel) [Linkup vs Parallel](https://openbenchmarks.com/web-search/linkup-vs-parallel) [Firecrawl vs Parallel](https://openbenchmarks.com/web-search/firecrawl-vs-parallel) [TinyFish vs Parallel](https://openbenchmarks.com/web-search/tinyfish-vs-parallel) © 2026 Openbenchmarks