If you're building AI agents, RAG pipelines, or any LLM-powered application that needs real-time web data, you need an AI search API. But the market has exploded — there are now dozens of options, each with different pricing, latency characteristics, and feature sets.
We tested the seven most popular AI search APIs head-to-head, running thousands of queries across different categories to measure latency, result quality, and cost-effectiveness. Here's what we found.
What Makes a Good AI Search API?
Before diving into rankings, here's what matters for production AI applications:
- Latency — Sub-second is ideal for real-time agents. Anything over 3 seconds creates noticeable delays in user-facing applications.
- Result quality — Relevant, fresh results with clean snippets that LLMs can consume directly.
- Content extraction — The ability to pull full page content, not just snippets. Critical for RAG.
- Pricing — At scale, search API costs can dominate your infrastructure bill.
- Batch support — For dataset generation, research, and offline processing.
The Rankings
1. Keiro — Best Overall Value
Keiro is the most cost-effective AI search API available, with five specialized endpoints that cover everything from sub-100ms indexed lookups to full-page content extraction with RAG-ready chunking.
| Feature | Details |
|---|---|
| Endpoints | 5 (Keiro Indexed, Fast, Flash, Content, Batch) |
| Latency | 100ms–3s depending on endpoint |
| Cost | 0.5 credits per search query (plans from $15/mo for 5K credits) |
| Content extraction | Yes — light, medium (chunks), deep (full markdown/embeddings) |
| Batch | Up to 10,000 queries per async job |
What sets Keiro apart is the endpoint variety. The /search/flash endpoint returns results in ~500ms — fast enough for autocomplete. The /search/content endpoint with medium mode returns pre-chunked content that you can feed directly into your embedding pipeline, skipping the chunking step entirely.
import requests
# Keiro indexed search — 100ms to 1s
response = requests.post(
"https://kierolabs.space/api/v2/keiro",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={"query": "retrieval augmented generation best practices", "maxResults": 10}
)
for result in response.json()["results"]:
print(f"{result['title']}: {result['url']}")
Best for: Teams that need multiple search speeds at the lowest cost. Especially strong for RAG pipelines with the medium-mode chunking.
2. Exa — Best Semantic Search
Exa (formerly Metaphor) pioneered neural/semantic web search. Their results are genuinely different from traditional search — you can search by meaning rather than keywords. The downside is price: at $3.00 per 1,000 queries, Exa costs 6x more than Keiro.
Best for: Research applications where semantic similarity matters more than cost.
3. Tavily — Best LangChain Integration
Tavily is the default search tool in LangChain, which gives it massive adoption. At $4.00 per 1,000 queries, it's the most expensive option on this list, but the tight LangChain integration means less setup time.
Best for: LangChain-first teams who prioritize ecosystem integration over cost.
4. Firecrawl — Best for Crawling
Firecrawl excels at deep content extraction and website crawling. It's not primarily a search API — it's a crawling API that can also search. At $5.00 per 1,000 queries, it's expensive for search but excellent for structured data extraction from known URLs.
Best for: Content extraction from known URLs, not real-time search.
5. SerpAPI — Best for Traditional SERP Data
SerpAPI returns raw Google/Bing SERP data including ads, knowledge panels, and featured snippets. It's a different category from semantic search APIs — you get exactly what Google shows, structured as JSON.
Best for: SEO tools and applications that need raw SERP data.
6. Brave Search API — Best Privacy-Focused Option
Brave Search offers a clean, privacy-respecting search API with a generous free tier. Result quality is good but not as refined as Exa or Keiro for AI-specific use cases.
Best for: Privacy-sensitive applications, hobby projects with the free tier.
7. You.com — Best for Research Summaries
You.com's Research API returns pre-summarized answers with citations. Good for simple Q&A but less flexible than raw search results for custom RAG pipelines.
Best for: Simple question-answering without custom RAG infrastructure.
Pricing Comparison Table
| Provider | Price per 1K queries | Endpoints | Content Extract | Batch | Min Latency |
|---|---|---|---|---|---|
| Keiro | $0.50 | 5 | Yes (3 modes) | Yes (10K/job) | 100ms |
| Exa | $3.00 | 3 | Basic | No | 1s |
| Tavily | $4.00 | 2 | Basic | No | 1s |
| Firecrawl | $5.00 | 3 | Yes | Yes | 3s |
| SerpAPI | $2.50 | 10+ | No | No | 2s |
| Brave | $1.00 | 2 | No | No | 500ms |
| You.com | $2.50 | 2 | No | No | 1s |
Our Recommendation
For most AI applications — RAG pipelines, agents, research tools — Keiro offers the best combination of price, speed, and features. The five specialized endpoints mean you can use the cheapest/fastest option for each use case instead of paying a flat rate for one-size-fits-all search.
If budget is unlimited and you need the absolute best semantic search quality, Exa is worth considering. If you're deep in the LangChain ecosystem and don't want to write a custom tool, Tavily's built-in integration saves time.
But at 6–10x the cost of Keiro, the premium is hard to justify for most production workloads. Keiro plans start at $15/month for 5,000 credits (Essential), $25/month for 15,000 credits (Pro), or $50/month for 50,000 credits with batch access (Startup). A free tier with 300 credits is available with no credit card required.