Ocean.io vs Exa for finding similar companies (lookalike APIs), benchmarked
Both Ocean.io and Exa return companies that resemble a seed account — Ocean.io via AI-driven lookalike search across a global company graph, Exa via neural company search from a seed-anchored capability query. Here is how they compare on identical B2B seed companies, scored by the same three-model LLM judge panel.
Ocean.io vs Exa, scored on the same seeds
Same input, same judge, same seed companies — so the gaps below reflect relevance, not different test sets. See the full methodology and matrix →
| Metric | Ocean.io | Exa | Winner |
|---|---|---|---|
| Precision@10 (top-of-list quality) | 74.3% | 80.8% | Exa |
| Precision@100 (long-list quality, headline) | 59.5% | 48.6% | Ocean.io |
| Relevant companies returned | 2,799 | 2,331 | Ocean.io |
How Ocean.io and Exa find lookalikes
Ocean.io surfaces lookalikes via AI-driven lookalike search across a global company graph; Exa via neural company search from a seed-anchored capability query. Same seed, same top-K, same LLM judge — so the mechanism difference shows up directly in the relevance numbers above.
Agent sign-up and use instructions
How an agent runs a lookalike / company search on each — the access model (does the agent get in on its own, or does a human?), the exact call, and the credits.
api.ocean.io/mcphuman key
POST api.exa.ai/search · category: companykeyComparing other vendors? See the full benchmark → ·