I benchmarked 4 web search APIs for AI agents. Here's what each one is good at.
Description and use
The author benchmarked four web search APIs for AI agents, finding that You.com is fastest and freshest for live turns, Parallel has the highest overall accuracy, Exa excels in precision@5 and insurance queries, and Tavily is best for documentation lookups. The choice depends on the agent’s use case.
Problem
Choosing a web search API for AI agents is hard because vendor benchmarks are biased and public tests use generic trivia that does not match agent queries.
Outcome
You.com is fastest and freshest for live turn answers; Parallel has highest accuracy overall and in finance; Exa delivers best precision@5 and insurance accuracy; Tavily excels at documentation lookups. No single winner; choice depends on agent use case.
Workflow
- Define 30 queries with upstream tasks, search strings, parameters and expected answers.
- Send identical requests to each API (10 results, full content, same freshness window and domain filters).
- Run each query 3 times via promptfoo (90 calls per API).
- Record latency, responses and cost.
- Grade answers using SimpleQA rubric and FreshQA strict rules.
- Aggregate metrics: accuracy, precision@5, freshness, latency p50/p95, cost per correct answer.
- Analyze results per use case and overall.
- Publish results, harness, answer keys and dataset for reuse.
Evidence
I built a small, open web search API evaluation around agent-style calls, and tested You.com, Tavily, Exa and Parallel live.
30 queries, written the way agents call search.
You.com was the only API to surface the day's new Apache Iggy activity, and it was right on that week's funding rounds and agent-memory posts.
Exa was the only API to get both the live wind speed and both county warnings
Parallel edged ahead because it was the only API to find the right week's jobless-claims report.
Tavily was fastest (25 seconds, 3 steps). Every provider's first API call worked on the first try.
- Record date: 2026-10-27T19:11:42.944Z