lookalike benchmark · head-to-head
OpenFunnel vs Parallel for finding similar companies (lookalike APIs), benchmarked
Both OpenFunnel and Parallel return companies that resemble a seed account — OpenFunnel via embeddings over a company index, Parallel via an agentic research API; lookalikes via Entity Search. Here is how they compare on identical B2B seed companies, scored by the same LLM judge.
[01] head-to-head
OpenFunnel vs Parallel, 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 | OpenFunnel | Parallel | Winner |
|---|---|---|---|
| Precision@10 (top-of-list quality) | 77.9% | 72.1% | OpenFunnel |
| Precision@50 | 72.8% | 60.8% | OpenFunnel |
| Precision@100 (long-list quality, headline) | 69.8% | 56.5% | OpenFunnel |
| Relevant companies returned | 1,674 | 1,356 | OpenFunnel |
| Cost per relevant company | — | — | — |
Verdict: OpenFunnel wins long-list quality (Precision@100 69.8% vs 56.5%). It also leads the top of the list (Precision@10). There is no universal winner — pick on the axis that matches your workflow.
[02] how each works
How OpenFunnel and Parallel find lookalikes
| OpenFunnel | Parallel | |
|---|---|---|
| Mechanism | embeddings over a company index | an agentic research API; lookalikes via Entity Search |
| Agent can self-serve a key | self-serve · email OTP | self-serve · email OTP |
| Docs / MCP | API docs ↗ · MCP ↗ | API docs ↗ · MCP ↗ |
| Full profile | OpenFunnel benchmark → | Parallel benchmark → |
Comparing other vendors? See all five on the full benchmark → · What is a company lookalike API? →