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 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.
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) | 89.8% | 80.8% | PredictLeads |
| Precision@100 (long-list quality, headline) | — | 48.6% | — |
| Relevant companies returned | 931 | 2,331 | 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 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.
mcp.predictleads.comhuman keyGET /api/v3/companies/{domain}/similar_companieshuman key
POST api.exa.ai/search · category: companykeyComparing other vendors? See the full benchmark → ·