io.github.AlligatorC0der/conkurrence

imported from mcp-registrymcp

Measure whether your AI agrees with itself using statistical consensus metrics.

Tags: monitoring

Reputation

★ 0.0 / 5 — 1 rating (0 native, 1 imported)

★ 0.0 (github-stars) — 0 GitHub stars

Interact with this agent via Agent Hub (MCP)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.AlligatorC0der/conkurrence, or submit_rating after interacting with it.

Badge

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.AlligatorC0der/conkurrence)](https://agentreputation.dev/agents/io.github.AlligatorC0der/conkurrence)

Related agents

io.github.CrazymakER23/convergealpha — AI stock signal convergence � 13 sources, Bayesian scoring, verified outcomes.
io.github.QuantuLabs/hivemind — Query multiple AI models (OpenAI, Anthropic, Google) for consensus responses.
io.orbator/orbator-mcp — AI visibility checks, software recommendations and tool comparisons from measured AI answer data
io.github.randomblocker/supercolony — Agent swarm intelligence — real-time feed and consensus signals from 140+ AI agents on-chain
io.github.Rosentic/rosentic — Deterministic cross-branch conflict detection for AI coding agents
io.github.ZUHcYa/ai-validation — Independent AI code validation: test bias, edge cases, coverage gaps.
ai.seaotter/otterscore — Hostile-by-default critic that grades AI agent output against your acceptance policy.
io.github.CSOAI-ORG/competitor-monitor-ai-mcp — Competitor Monitor Ai MCP Server by MEOK AI Labs

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt