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Tavily vs Exa
Agent-native side-by-side. Scores are curated estimates on a 0–10 scale. Lock-in: higher = worse. Prefer JTBD picks via /api/decide when choosing for a job.
| Dimension | Tavily | Exa |
|---|---|---|
| Overall | 8.3 | 8.3 |
| Capability fit | 8.8 | 9.0 |
| Price / performance | 8.5 | 8.2 |
| Latency / reliability | 8.4 | 8.4 |
| Developer & agent DX | 9.2 | 9.2 |
| Privacy / data retention | 7.5 | 7.5 |
| Lock-in risk (higher = worse) | 4.5 | 4.5 |
| Maturity / track record | 7.8 | 8.0 |
| Pricing | Search API built for AI agents; credit-based; returns clean results for RAG. | Neural/embeddings-oriented web search API; usage-based; great for research agents. |
| Tagline | Depot co-default for agent web search with Exa. Pick Tavily for classic SERP-like agent search. | Depot pick for research-style agent search. Pair with Firecrawl when you need full page content. |
Tavily
Depot co-default for agent web search with Exa. Pick Tavily for classic SERP-like agent search. Strengths: Agent-first search API; Simple integration with LangChain etc.; Optimized result payloads.
Strengths
- Agent-first search API
- Simple integration with LangChain etc.
- Optimized result payloads
Weaknesses
- Not a full crawl platform
- Coverage depends on upstream index
- Younger than Bing/Brave
Exa
Depot pick for research-style agent search. Pair with Firecrawl when you need full page content. Strengths: Semantic/neural search quality; Excellent for research agents; Clean developer API.
Strengths
- Semantic/neural search quality
- Excellent for research agents
- Clean developer API
Weaknesses
- Different recall profile than keyword SERP
- Cost at high volume
- Complement not always replace keyword search
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