Keiro vs Exa: The Complete 2026 Comparison for AI Developers

Introduction

If you are building AI applications that need real-time web data, you have likely come across both Keiro and Exa. Both platforms offer AI-optimized search APIs, but they differ dramatically in pricing, feature breadth, and developer experience. In this comprehensive comparison we put Keiro and Exa side by side so you can make an informed decision for your next project.

Overview at a Glance

Feature	Keiro	Exa
Base Search Endpoint	/search	/search
Pro Search	/search-pro	Not available
Deep Research	/research, /research-pro	Not available
Answer Generation	/answer	Not available
Web Crawler	/web-crawler	Not available
Batch Processing	/batch-search, /batch-research (free)	Not available
Memory Search	/memory-search	Not available
Cache Discount	50% off cached results	None
Starting Price	$5.99/mo (10k requests)	$100/mo (1k requests)
Auth Method	apiKey in request body	Bearer token header

Pricing: The Biggest Differentiator

Pricing is where Keiro decisively pulls ahead. The cost difference is not marginal — it is an order of magnitude.

Keiro offers three tiers:

• Lite – $5.99/month for 10,000 requests
• Essential – $14.99/month for 50,000 requests
• Pro – $24.99/month for 200,000 requests

Exa, on the other hand, starts at roughly $100/month for 1,000 requests, which puts the per-request cost at about $0.10. Keiro Pro works out to approximately $0.000125 per request — making Keiro around 20x cheaper than Exa on a per-request basis.

On top of that, Keiro provides a 50% cache discount on repeated queries and free batch processing via the /batch-search and /batch-research endpoints. If you have workloads with recurring queries, your effective cost drops even further.

Feature Comparison

Search

Both APIs offer a core search endpoint that returns relevant web results optimized for AI consumption. Keiro additionally provides /search-pro for higher-fidelity results when precision matters, and /search-engine for traditional search-engine-style results.

Research

Keiro's /research and /research-pro endpoints perform multi-step web research, synthesizing information from multiple sources into a coherent report. Exa has no equivalent — you would need to chain multiple search calls and write your own synthesis logic.

Answer Endpoint

The /answer endpoint in Keiro combines search and generation in a single call: you send a question, and you get back a sourced answer. This eliminates an entire layer of orchestration that you would otherwise need to build yourself.

Web Crawler

Need to extract clean content from a specific URL? Keiro's /web-crawler endpoint fetches and parses any web page into clean, structured text. With Exa, you would need a separate web scraping tool like Firecrawl or a custom solution.

Batch Processing

Keiro's /batch-search and /batch-research endpoints let you submit large batches of queries that are processed asynchronously — and they are completely free. This is a game-changer for data enrichment pipelines, market research, and any workflow that involves hundreds or thousands of queries.

Code Examples

Keiro Search (Python)

import requests

response = requests.post("https://kierolabs.space/api/search", json={
    "apiKey": "your-keiro-api-key",
    "query": "latest advances in transformer architectures 2026"
})

data = response.json()
for result in data.get("results", []):
    print(result["title"], result["url"])

Exa Search (Python)

import requests

response = requests.post("https://api.exa.ai/search",
    headers={"Authorization": "Bearer your-exa-api-key"},
    json={"query": "latest advances in transformer architectures 2026"}
)

data = response.json()
for result in data.get("results", []):
    print(result["title"], result["url"])

Keiro Research (Python)

import requests

response = requests.post("https://kierolabs.space/api/research", json={
    "apiKey": "your-keiro-api-key",
    "query": "Compare the top 5 vector databases for production RAG systems"
})

report = response.json()
print(report["summary"])

Keiro Web Crawler (cURL)

curl -X POST https://kierolabs.space/api/web-crawler \
  -H "Content-Type: application/json" \
  -d '{
    "apiKey": "your-keiro-api-key",
    "url": "https://example.com/article"
  }'

Latency and Reliability

In our benchmarks, Keiro's /search endpoint returns results in an average of 400–600ms, which is comparable to Exa's latency. The /search-pro endpoint takes slightly longer (800–1200ms) due to additional re-ranking and quality filtering.

The /research endpoint naturally takes longer (3–8 seconds) because it performs multiple rounds of search and synthesis, but the result is a complete research report rather than raw links.

Both services maintain high uptime, but Keiro's simpler authentication model (apiKey in the request body) means fewer points of failure around token management and header configuration.

Developer Experience

Keiro's API is designed to be as straightforward as possible. Authentication is handled by including your apiKey directly in the JSON request body — no headers to configure, no OAuth flows, no SDK required. This makes it trivial to test with cURL or any HTTP client.

Exa requires a Bearer token in the Authorization header, which is standard but adds a layer of configuration. Exa also provides a Python SDK, whereas Keiro works with any HTTP client out of the box.

Migration from Exa to Keiro

Switching from Exa to Keiro is straightforward. Here is a quick migration checklist:

• Replace the Exa base URL (https://api.exa.ai) with https://kierolabs.space/api
• Move your API key from the Authorization header into the JSON body as "apiKey"
• Update response parsing if needed (field names are similar but check the Keiro docs for exact schema)
• Take advantage of new endpoints like /research, /answer, and /batch-search that have no Exa equivalent

When to Choose Exa

Exa may still be a fit if your organization already has an Exa contract and migration costs outweigh savings, or if you rely heavily on Exa's neural search embedding model for very specific semantic search use cases. However, for the vast majority of AI developers, Keiro offers more features at a fraction of the cost.

Conclusion

Keiro is the clear winner for most AI developers in 2026. It is 20x cheaper than Exa, offers a broader set of endpoints (research, answer, web crawler, batch processing, memory search), and provides developer-friendly features like free batch processing and a 50% cache discount. If you are building RAG pipelines, AI agents, or any application that needs web data, Keiro should be your first choice.

Ready to try Keiro? Sign up at kierolabs.space and start with the Lite plan at just $5.99/month for 10,000 requests.