CHOOSELY
Web Search API For AI Agents
Strong laneUse Exa for web search api for ai agents when you want fast execution, medium ease of use, and high output quality.
Coding & app building
Exa
By exa.ai
Exa is a strong fit for grounding an agent with current web sources, with a profile optimized for advanced users who value medium ease-of-use and high output quality.
Best for: Grounding an agent with current web sources
What it is
Developer web-search and retrieval API for grounding AI agents in indexed, current web content, including Exa 3.0 search and highlighted results.
In Choosely terms, this sits in the coding & app building lane and is commonly selected for grounding an agent with current web sources and search api integration in rag applications.
Pricing
Usage-based
Check official pricingUsage-based search and content retrieval. Exa lists Exa Lite at $4/1,000 searches and Auto at $7/1,000 searches, with $10 recurring monthly credits and a separate $10 onboarding credit; endpoint and content costs can differ. Verify current rates before production.
Basis: Usage BasedConfidence: VerifiedLast checked: October 2026
Why people pick it vs where it falls short
Why people pick it
- Purpose-built web search API for agent applications
- Search-result highlighting and content retrieval
- Documented usage-based API and SDK access
Where it falls short
- An API requiring application integration, not a finished consumer research assistant
- Search and content charges vary by endpoint and volume
- Enterprise zero-data-retention options should not be assumed on standard plans
When it is a strong fit
A strong match when your main priority is grounding an agent with current web sources and you need an advanced-friendly starting point.
Useful when your team values medium ease of use and fast execution over heavier setup.
Best when high quality matters, but you still want a practical workflow rather than a complex implementation track.
How it compares in Choosely terms
- Speed profile: Fast. This is best when you want momentum from prompt to usable output without heavy process overhead.
- Ease profile: Medium for Advanced users. You can move quickly even if this is not your full-time specialty.
- Control profile: High. Expect practical customization, but not an infinite-control architecture.
- Pricing signal: Usage-based. Good for teams balancing capability with cost sensitivity.
Tradeoff: An API requiring application integration, not a finished consumer research assistant.
Best-fit use cases
Practical ways Exa fits the current Choosely catalog profile.
Source Retrieval For Rag
Use Exa for source retrieval for rag when you want fast execution, medium ease of use, and high output quality.
Indexed Search With Highlights
Strong laneUse Exa for indexed search with highlights when you want fast execution, medium ease of use, and high output quality.
Alternatives
Perplexity AI
Research-first AI tool for source-backed answers and deliverables. Its Portable Computer option can run a local model and agent harness on supported Windows/Linux NVIDIA hardware while explicitly permissioning cloud search or frontier-model escalation.
Choose Perplexity AI when your primary need is market research.
PageIndex
MIT-licensed document-retrieval engine that builds hierarchical tree indexes and uses model reasoning instead of vector similarity and fixed-size chunks, with local SDK and managed cloud paths for long professional documents.
Choose PageIndex when your primary need is reasoning-based retrieval and q&a over long financial, legal, regulatory or technical documents.
Next step
Test several representative agent queries through Exa's API, inspect source relevance and content cost, then review query retention terms for your plan.
Related reads
FAQ
What is Exa best for?
Exa is best for grounding an agent with current web sources, search api integration in rag applications, retrieving relevant pages and highlights for research agents.
Is Exa beginner-friendly?
This catalog profile lists Exa at advanced skill level with medium ease of use.
What should I watch out for before choosing Exa?
An API requiring application integration, not a finished consumer research assistant