Your evidence, wherever your agents work.
n+1 speaks MCP, the open standard for connecting AI agents to data. Connect Claude, ChatGPT, or your own agents to your studies, and your team asks research questions in the tools where they already work, with every answer grounded in your evidence and quotes cited.
The platform is also an API for agents.
Everything the n+1 tools can see, a connected agent can ask for. The same analytics warehouse behind Inspect, the same evidence base behind Evidence, exposed through tools any MCP-compatible agent can call. Your data stays scoped to your account, and access keys stay under your control.
- Ask in Claude or ChatGPT. "What did hybrid intenders praise this week?" answered from your studies, in the chat window your team already has open.
- Build on your own agents. Internal copilots and workflows can query the same tools programmatically.
- Grounded, always. Answers come from your evidence with quotes cited, not from a model's memory.
Orient, quantify, then quote.
An agent finds the right study, pulls the numbers it needs, and retrieves evidence for the verbatims behind them. The same arc an analyst follows, available to every seat and every internal tool.
Anything that speaks MCP.
Claude and ChatGPT connect today, and the standard is open, so the same connection works for agent frameworks and in-house tooling. One integration, every agent surface your team adopts next.
Bring your own agent. The evidence is ready.
Connections are provisioned per account.
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