Exa vs Parallel Search API for AI agents
Exa is a web search API for AI that runs its own crawl and index, with search modes from instant to deep research. Parallel Search API is a search API built for AI agents that takes a natural-language objective and returns ranked URLs with compressed excerpts.
The short answer
- Exa: Semantic, meaning-based discovery of pages, plus full page text, from an index built for AI.
- Parallel Search API: Token-efficient excerpts for agent tool calls, with fast low-cost modes and a free keyless MCP.
Side by side
| Exa | Parallel Search API | |
|---|---|---|
| Searches | Exa's own web-scale index (it says it crawls billions of documents per day). | Parallel's own web index (it says billions of pages, millions added daily). |
| Returns | JSON results with title, URL, published date and author; optional full page text, highlights and summaries; deep modes can return a synthesized structured output. | JSON results with URL, title, publish date and LLM-ready excerpts (dense snippets or full page markdown). |
| Before the first call | An account and an API key (Bearer or x-api-key header). | An account and an API key (x-api-key header); the Search MCP works without a key at lower limits. |
| Free | $10 in credits every month, plus a $10 onboarding bonus; no payment method required. | Up to 5,000 requests a month free ($5 in free credits a month), plus up to $80 at signup. |
| Paid | Search from $4 per 1,000 requests; page contents $1 per 1,000 pages. | $0.001 to $0.005 a request for 10 results. |
| Acting on a result | Through the web page each result links to | Through the web page each result links to |
| Limits on keeping or showing results | Not stated on its pages | Outputs may not be copied, cached, stored or reused from previous queries for future uses (beyond what the terms allow). |
| AI in its terms | Not stated on its pages | You may not use outputs to create synthetic training data for a language model; Parallel may use customer inputs and outputs to train its own models. |
| MCP server | Official MCP server: https://mcp.exa.ai/mcp (code: https://github.com/exa-labs/exa-mcp-server) | Official Search MCP: https://search.parallel.ai/mcp (free, no API key needed) |
Questions people ask
What do I need before I can use Exa?
An account and an API key (Bearer or x-api-key header).
Is Exa free?
$10 in credits every month, plus a $10 onboarding bonus; no payment method required.
What do I need before I can use Parallel Search API?
An account and an API key (x-api-key header); the Search MCP works without a key at lower limits.
Is Parallel Search API free?
Up to 5,000 requests a month free ($5 in free credits a month), plus up to $80 at signup.
Sources
Every line about another company comes from its own pages. Prices and terms change, so check the source before you rely on one.
Exa, read on October 15, 2026:
- exa.ai/docs/reference/search: “The full content text of the search result.”
- exa.ai: “Search the largest index of public web and private information.”
- exa.ai: “crawl billions of documents per day”
- exa.ai/docs/reference/exa-mcp: “https://mcp.exa.ai/mcp”
- exa.ai/pricing: “Search From $4 /1k requests”
- exa.ai/pricing: “Contents $1 /1k pages per content type”
- exa.ai/pricing: “Starter Free $10 credits every month plus a $10 onboarding bonus”
- exa.ai/pricing: “No payment method required”
Parallel Search API, read on October 15, 2026:
- parallel.ai/pricing: “Run up to 5,000 requests per month for free”
- parallel.ai/pricing: “Earn up to $80 at signup + $5 in free credits per month”
- parallel.ai/products/search: “Billions of pages covering the full depth and breadth of the public web”
- docs.parallel.ai/search/search-quickstart: “takes a natural language objective and returns relevant excerpts optimized for LLMs”
- parallel.ai/customer-terms: “shall not copy, cache, or store any significant portion of any Customer Output”
- parallel.ai/customer-terms: “making available Customer Outputs from previous queries for future uses”
- parallel.ai/customer-terms: “create synthetic training data to develop or train a language model”
- parallel.ai/customer-terms: “Parallel may use Customer IP to train and improve the machine learning and other artificial intelligence models”
- docs.parallel.ai/integrations/mcp/search-mcp: “https://search.parallel.ai/mcp”
- parallel.ai/pricing: “$0.001 - $0.005 for 10 results”