BioMedCore and TrialCore as API endpoints. Returns 20 ranked papers per query, every time. Benchmarked at F1 38.4% vs Claude at 11.0%. Purpose-built for research agents, clinical pipelines, and any application that needs reliable biomedical evidence coverage.

EOL Dataset by HeroDevs — Find every EOL dependency in your stack. Free. In 5 minutes.

Find every EOL dependency in your stack. Free. In 5 minutes.

We built Amass to solve a specific problem: general-purpose AI tools miss most of the relevant biomedical literature when you ask them a research question. We tested this. Amass returned 20 papers per question on every run. Claude averaged 7.6. ChatGPT averaged 3.6. F1 measures both coverage and precision — it penalizes tools that miss relevant papers as much as those that return irrelevant ones. Amass scored 38.4% vs Claude at 11.0% and ChatGPT at 14.4%. The API gives any agent or application direct access to BioMedCore (papers) and TrialCore (trials). Every new account starts with $5 free credit. If you are building research agents or clinical decision tools and have run into the coverage problem, we would like to hear what you are working on.

EOL Dataset by HeroDevs — Find every EOL dependency in your stack. Free. In 5 minutes.

Find every EOL dependency in your stack. Free. In 5 minutes.

Amass API

Biomedical retrieval for AI agents: 3.5x better than Claude

Biomedical retrieval for AI agents: 3.5x better than Claude