benchmarks/lookalikes/Parallel
lookalike benchmark

Parallel similar-companies API (lookalikes), independently benchmarked

Parallel's similar-companies — or "lookalike" — API finds companies that resemble a seed account using an agentic research API; lookalikes via Entity Search. Here is how it actually scored on the independent Openbenchmarks lookalike benchmark, and the Parallel alternatives.

How Parallel scored

Same B2B seed companies as every other vendor; an LLM judge scores each returned company for relevance. See the full methodology and matrix →

MetricParallelStanding
Precision@10 (top-of-list quality)72.1%#4 of 5
Precision@5060.8%#2 of 5
Precision@100 (long-list quality, headline)56.5%#2 of 5
Relevant companies returned1,356#2 of 5
Cost per relevant company

How Parallel finds similar companies

Parallel surfaces lookalikes via an agentic research API; lookalikes via Entity Search. On this benchmark every vendor receives the same compact input (company name + domain + a one-line description), which matches how an AI agent would query it. An autonomous agent can obtain a working API key on its own (email OTP). self-serve · email OTP

Parallel API docs ↗ · MCP ↗ · Parallel site ↗

Parallel alternatives, benchmarked head-to-head

Every alternative below is scored on the same seeds with the same judge — so you can compare relevance directly instead of trusting vendor claims.

AlternativeHow it worksPrecision@100
OpenFunnelembeddings over a company index69.8%Parallel vs OpenFunnel →
Ocean.ioAI-driven lookalike search across a global company graph48.6%compare →
Exaneural web search with a 'similar to this URL' endpoint25.8%Parallel vs Exa →
PredictLeadssimilar companies via shared tech / news / jobs co-signals19.4%compare →

Parallel scores 56.5% Precision@100 on the current cohort. There is no single overall winner — precision and cost favor different vendors, so pick on the axis that matches your workflow. See all vendors on the full benchmark → · What is a company lookalike API? →