amass.tech valid
Amass
Amass is the scientific intelligence layer for life science. It unifies papers, trials, drugs, genes, patents and regulatory records in eight *Cores and answers questions with responses cited to source.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-27T13:33:44.854Z. Cached copy · Source on amass.tech
# Amass
> Amass is the scientific intelligence layer for life science. It unifies papers, trials, drugs, genes, patents and regulatory records in eight *Cores and answers questions with responses cited to source.
Amass is built for biotech, pharma, and research teams. Every claim is traceable to a primary source. Available as a web app, an MCP server for use inside AI tools, and a developer API.
Every page below links its markdown variant directly (the `.md` suffix); the same HTML page lives at the URL without the suffix, and full concatenated content is in [llms-full.txt](https://amass.tech/llms-full.txt).
## Product
- [Product overview](https://amass.tech/product.md): The three ways to work with Amass: App, MCP, and API. One research engine, three surfaces.
- [Amass App](https://amass.tech/app.md): Ask a research question in plain language. Amass works through it across the eight data layers, shows every search it ran, and cites each claim to a source you can open. Longer runs produce downloadable, cited reports.
- [Amass Core](https://amass.tech/core.md): The specialized data layers that power retrieval: biomedical literature, clinical trials, drugs, genes, patents, and FDA/EMA regulatory. All live on the public API today.
- [Amass MCP](https://amass.tech/mcp.md): Use Amass inside the AI tools you already use (Claude, Cursor, ChatGPT, etc.) via the Model Context Protocol.
- [Amass for Microsoft Copilot](https://amass.tech/integrations/microsoft-copilot.md): Amass scientific intelligence inside Microsoft Copilot: what you can explore, how to get access, and the setup questions teams ask first.
- [Install Amass MCP via ChatGPT developer mode](https://amass.tech/mcp/developer-mode.md): Fallback install path for ChatGPT tenants where the Amass app-store listing is not visible. Five-step walkthrough.
- [Amass API](https://amass.tech/life-science-api.md): Developer access to the same retrieval engine that powers the App and MCP.
- [Amass for SciSure](https://amass.tech/scisure.md): Amass inside the SciSure electronic lab notebook. Ask a research question with your experiments as context, choose the sections you share, and inspect the sources behind the response.
- [Try Amass free](https://amass.tech/try.md): Start free on the App, get API access, or connect your AI tools via MCP. No card required.
## Use cases & content
- [Use cases](https://amass.tech/use-cases.md): Concrete workflows: competitive landscaping, target validation, regulatory monitoring, and more.
- [Resources](https://amass.tech/resources.md): Guides, articles, and documentation.
- [Events & webinars](https://amass.tech/events.md): Where to meet Amass: upcoming hackathons, webinars and talks, and the recordings of past webinars.
- [How to do scientific work in Claude](https://amass.tech/how-to-do-scientific-work-in-claude.md): Using Amass inside Claude: biomedical literature, clinical trials, and regulatory data, with every answer cited to source.
- [How to use Amass](https://
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| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| scisure.com | SciSure Full LLMs Guide | documentation Science and research Business software | US | 48 | ✓ | ||
| consensus.app | Consensus | interface Science and research AI and machine learning | — | 67 | ✓ | ✓ | |
| scisummary.com | SciSummary | interface Science and research AI and machine learning +1 | US | 53 | ✓ | ||
| scite.ai | Scite | interface Science and research AI and machine learning | — | 58 | ✓ | ||
| aiapp.ai | AI App | documentation AI and machine learning | — | 52 | ✓ | ||
| allmind.ai | AllMind | documentation AI and machine learning Finance and payments +1 | US | 49 | ✓ | ||
| paperguide.ai | Paperguide | documentation Science and research AI and machine learning | — | 57 | ✓ | ||
| machinelibrary.ai | Machine Library | interface AI and machine learning AI agents and MCP +2 | — | 48 | ✓ |
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