Keirolabs

Web search API that returns cited results, clean markdown, and embeddings in one call

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About Keirolabs

Keirolabs provides a web search API designed for AI agents, offering cited results, clean markdown formatting, and embeddings in a single request. The service supports multiple search types including auto, deep, and lite modes, with configurable parameters such as number of results and highlighting. Users can access embeddings directly from the API call, reducing the need for additional processing steps. The platform is billed on a credit system where different endpoints consume credits at varying rates, with a free tier available for basic testing. Paid plans offer increased credits, higher request limits, and additional features like priority queues and extended log retention. The API is intended for developers building AI-driven applications that require reliable, structured web search capabilities.

Key features

Cited results with clean markdown output
Embeddings included in the same call
Multiple search types (auto, deep, lite)
Configurable number of results and highlighting
Credit-based billing with free tier
Pay-as-you-go and subscription options
Rate limits vary by plan
Log retention periods up to 30 days

Use cases

Building AI agents that require web search with citations
Generating structured data from web sources for applications
Retrieving embeddings alongside search results for vector databases

Pros

Returns cited results with clean markdown formatting
Includes embeddings in the same API call
Supports multiple search types (auto, deep, lite)
Free tier available with 1,250 credits per month
Pay-as-you-go and subscription pricing options

Cons

Rate limits apply even on paid plans (60–300 requests per minute)
Credit-based pricing may be less predictable for high-volume users
No explicit mention of multi-language support

Frequently asked questions about Keirolabs

What is Keirolabs and what does it do?

Keirolabs provides a web search API designed specifically for AI agents, delivering cited results, clean markdown formatting, and embeddings in a single API call. It supports multiple search modes such as auto, deep, and lite, with configurable parameters for results and highlighting.

Who should use Keirolabs?

The platform is intended for developers and teams building AI-driven applications that require reliable, structured web search capabilities. It suits use cases ranging from research and answer extraction to embedding generation for AI models.

How does Keirolabs pricing work?

Keirolabs operates on a credit-based system where different endpoints consume credits at varying rates. A free tier offers 1,250 credits per month with no credit card required, while paid plans provide increased credits, higher request limits, and additional features like priority queues and extended log retention.

What integrations does Keirolabs support?

Keirolabs offers API endpoints for search, research, answer extraction, and embeddings, with support for webhook integrations on higher-tier plans. It also provides a Postman collection for easy testing and integration.

What are the limitations of Keirolabs?

The free tier has a limited number of credits and a rate limit of 30 requests per minute. Higher-tier plans offer increased limits and features, but all plans are subject to the credit consumption model, which varies by endpoint.

How do I get started with Keirolabs?

Users can start for free by signing up to receive an API key, which grants access to the platform’s endpoints. The free tier allows testing all endpoints without requiring a credit card, and documentation is available to guide integration.