Exa
Agent-native search API with deep-research mode and token-efficient content highlights.
What is Exa?
Exa is a neural search API tuned for agents, with separate endpoints for fast lookup, deep research, and structured content extraction. It is bought by engineering teams whose agents need precise web results plus company and people enrichment in one bill. Differentiator: highlights feature returns just the relevant passages, cutting context tokens by roughly 90%.
Tools for building, hosting, testing, observing, connecting, and giving memory or computer access to AI agents.
See the full Agent Infrastructure guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Deep research agents that need ranked source synthesis
Sales tools enriching companies and people from web data
Code search across public repositories
Monitoring agents that watch URLs for changes
Fit to evaluate
Teams building autonomous research agents
B2B sales platforms needing people and company enrichment
Developers cost-optimizing token-heavy RAG pipelines
Companies needing fast neural search at sub-second latency
Business fit
Right for you if your agent does multi-hop reasoning over the web or needs people and company data alongside search. Skip if a simple keyword search through a generic API meets your needs, since Exa costs more per call than basic alternatives. The pricing is granular enough that variable workloads stay predictable. Reference customers like Cognition (Devin) and HubSpot suggest it scales to production agent workloads.
How to evaluate Exa
Use this category when a business wants agents that do work across tools, APIs, browsers, and data sources.
Confirm the exact workflow
Map Exa to one concrete workflow first, such as deep research agents that need ranked source synthesis. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare tool-calling, memory, browser automation, evals, observability, and deployment controls.
Compare practical alternatives
Shortlist Exa against Orgo, Browser Use, Browserbase so the decision is based on fit, effort, and workflow ownership rather than brand recognition alone.
Validate cost and rollout effort
Free: 1,000 requests/month. Search: $7 per 1k requests (10 results). Deep Search: $12-15 per 1k. Deep-Reasoning: $15 per 1k. Contents: $1 per 1k pages. Monitors: $15 per 1k. Agent: $0.0001 per ACU, fixed effort modes $0.025-$2 per request. Also confirm implementation time, support needs, and whether the technical setup matches your team.
Compare Exa with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Deep research agents that need ranked source synthesis, Sales tools enriching companies and people from web data |
|---|---|
| Best-fit team | Teams building autonomous research agents, B2B sales platforms needing people and company enrichment |
| Implementation effort | Technical setup and maintenance profile |
| Pricing check | Usage-based |
| Closest alternatives | OrgoBrowser UseBrowserbaseHyperbrowser |
Exa pricing
| Model | Usage-based |
|---|---|
| Snapshot | Free: 1,000 requests/month. Search: $7 per 1k requests (10 results). Deep Search: $12-15 per 1k. Deep-Reasoning: $15 per 1k. Contents: $1 per 1k pages. Monitors: $15 per 1k. Agent: $0.0001 per ACU, fixed effort modes $0.025-$2 per request. |
| Checked |
Common questions about Exa
What is Exa?
Exa is a neural search API tuned for agents, with separate endpoints for fast lookup, deep research, and structured content extraction. It is bought by engineering teams whose agents need precise web results plus company and people enrichment in one bill. Differentiator: highlights feature returns just the relevant passages, cutting context tokens by roughly 90%.
What is Exa used for?
Common use cases: Deep research agents that need ranked source synthesis; Sales tools enriching companies and people from web data; Code search across public repositories; Monitoring agents that watch URLs for changes.
How much does Exa cost?
Free: 1,000 requests/month. Search: $7 per 1k requests (10 results). Deep Search: $12-15 per 1k. Deep-Reasoning: $15 per 1k. Contents: $1 per 1k pages. Monitors: $15 per 1k. Agent: $0.0001 per ACU, fixed effort modes $0.025-$2 per request.
Who is Exa best for?
Exa fits Teams building autonomous research agents, B2B sales platforms needing people and company enrichment, Developers cost-optimizing token-heavy RAG pipelines, Companies needing fast neural search at sub-second latency. Right for you if your agent does multi-hop reasoning over the web or needs people and company data alongside search. Skip if a simple keyword search through a generic API meets your needs, since Exa costs more per call than basic alternatives. The pricing is granular enough that variable workloads stay predictable. Reference customers like Cognition (Devin) and HubSpot suggest it scales to production agent workloads.
What are alternatives to Exa?
Common alternatives to Exa include Orgo, Browser Use, Browserbase, Hyperbrowser, Steel, Anchor Browser.