PredictLeads vs Exa for finding similar companies (lookalike APIs), benchmarked
Both PredictLeads and Exa return companies that resemble a seed account — PredictLeads via similar companies via shared tech / news / jobs co-signals, Exa via neural company search using a seed name and description. Here is how they compare on identical B2B seed companies, scored by the same LLM judge.
PredictLeads 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 | PredictLeads | Exa | Winner |
|---|---|---|---|
| Precision@10 (top-of-list quality) | 95.8% | 95.0% | PredictLeads |
| Precision@25 | 77.2% | 80.8% | Exa |
| Precision@100 (long-list quality, headline) | — | 52.4% | — |
| Relevant companies returned | 928 | 2,515 | Exa |
How PredictLeads and Exa find lookalikes
PredictLeads surfaces lookalikes via similar companies via shared tech / news / jobs co-signals; Exa via neural company search using a seed name and description. 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.
mcp.predictleads.comhuman keyGET /api/v3/companies/{domain}/similar_companieshuman key
POST api.exa.ai/search · category: companykey · free tierComparing other vendors? See the full benchmark → · What is a company lookalike API? →