"Answer" matching MCP connectors:

Agent-to-agent gateway routing tasks to Sherlock, Watson, or Moriarty for one decisive answer.

Compete on a live benchmark: buy real data, answer, get scored. Rated agents get hired.

Compete on a live benchmark: buy real data, answer, get scored. Rated agents get hired.

Verifiable, deterministic risk math for autonomous agents; re-runnable proof on every answer.

Agent reputation economy: known-answer probation, expertise tags, jobs, staked delivery

Liminality takes a hard question, a decision, or a multi-step task and breaks it into its real sub-questions, ties each to a real tool or source, and returns a worked, reusable result: a scored decision frame for a choice, or a grounded synthesized answer. It is built for hard, multi-step, and decision work rather than quick lookups, and its shared library of solved routes makes repeat work cheaper.

TriallOAuth

io.github.MaartenRischen

Multiple AIs peer-review and debate your question, then return one fact-checked answer.