Agentery pricing intelligence · Provider profile · Rigour
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Rigour

rigour.run official website

AI agent governance with DLP, quality gates, and memory control for development workflows

tool
Agentery price verdictNo pricing observed
Billing model
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Rigour

AI agent governance with DLP, quality gates, and memory control for development workflows

agent interactions, file writes, code files, agent memory files → blocked credential leaks, quality gate enforcement, governance reports, audit results, violation detection
ClaudeCursorClineWindsurfCopilotMCPMCPautonomy: workflow automation
Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is Rigour good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
NicheAI Debugging Agent
Price benchmarknot applicable
What to compare instead

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Comparable AI Debugging Agent

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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "rigour",
  "name": "Rigour",
  "url": "https://rigour.run",
  "logo": "https://agentery.com/logos/CP-8DQWW6-256.png",
  "niche": "ai-debugging-agent",
  "category": "developer-tools-infra",
  "short_summary": "AI agent governance with DLP, quality gates, and memory control for development workflows",
  "task_performed": "AI agent governance with DLP, quality gates, and memory control for development workflows",
  "inputs_accepted": [
    "agent interactions",
    "file writes",
    "code files",
    "agent memory files"
  ],
  "outputs_produced": [
    "blocked credential leaks",
    "quality gate enforcement",
    "governance reports",
    "audit results",
    "violation detection"
  ],
  "integrations_available": [
    "Claude",
    "Cursor",
    "Cline",
    "Windsurf",
    "Copilot",
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "workflow automation",
  "human_approval_needed": "unclear",
  "pricing_model": "free",
  "price": {
    "observed": true,
    "billing": "free",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Free",
    "summary": "Rigour is presented as a free, open-source MIT-licensed tool with no signup and local operation.",
    "confidence": "medium",
    "source_url": "https://rigour.run/pricing",
    "checked_at": "2026-07-28T05:53:56.125Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Free",
        "price": "0USD",
        "period": null,
        "persona": "free",
        "highlights": [
          "Open source",
          "MIT licensed",
          "No signup",
          "Zero telemetry",
          "Runs locally"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "GitHub",
    "MIT License",
    "MCP Registry Listed",
    "Peer-Reviewed Whitepaper",
    "OpenClaw audit case study"
  ],
  "evidence_quality": "high",
  "entity_type": "tool",
  "regulated_data_suitability": "possibly suitable (HIPAA stated)",
  "evidence_urls": [
    "https://rigour.run"
  ],
  "last_checked": "2026-06-19",
  "how_to_connect": {
    "website": "https://rigour.run",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 318,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:37:42.004Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}