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Norm AI

norm.ai official website

automates legal and compliance tasks by embedding laws, policies and regulatory requirements into AI agents that review materials for compliance

agent
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.

Norm AI

automates legal and compliance tasks by embedding laws, policies and regulatory requirements into AI agents that review materials for compliance

laws, policies, regulatory interpretations, workflows, and materials requiring compliance review → compliance review and verifiable compliance judgments embedded in workflows
UCPautonomy: agentic
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 Norm AI 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
NicheRegulatory Monitoring
Price benchmarknot applicable
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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": "norm_ai",
  "name": "Norm AI",
  "url": "https://norm.ai/",
  "logo": "https://agentery.com/logos/CP-5SVRFK.svg",
  "niche": "regulatory-monitoring",
  "category": "legal",
  "short_summary": "automates legal and compliance tasks by embedding laws, policies and regulatory requirements into AI agents that review materials for compliance",
  "task_performed": "automates legal and compliance tasks by embedding laws, policies and regulatory requirements into AI agents that review materials for compliance",
  "inputs_accepted": [
    "laws",
    "policies",
    "regulatory interpretations",
    "workflows",
    "and materials requiring compliance review"
  ],
  "outputs_produced": [
    "compliance review and verifiable compliance judgments embedded in workflows"
  ],
  "integrations_available": [],
  "protocols_or_interfaces": [
    "UCP"
  ],
  "industry_fit": [
    "legal and compliance (regulated institutions",
    "financial services)"
  ],
  "autonomy_level": "agentic",
  "human_approval_needed": "unclear",
  "pricing_model": "enterprise/contact sales",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public SaaS pricing or subscription plans are shown on the supplied homepage.",
    "confidence": "medium",
    "source_url": "https://norm.ai/",
    "checked_at": "2026-07-26T08:55:07.796Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "Trusted by institutions managing over $30 trillion in assets",
    "Backed by Vanguard, Blackstone, Bain Capital, Citi, TIAA, Coatue",
    "Advisory council including former SEC Commissioner and former NY DFS Superintendent",
    "Former Chairman of Sidley Austin joins Norm Law"
  ],
  "evidence_quality": "medium",
  "entity_type": "agent",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://norm.ai/"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://norm.ai/",
    "docs": "https://norm.ai/documentation",
    "mcp": null,
    "a2a": null,
    "api": {
      "docs_url": "https://norm.ai/developer",
      "endpoint": null
    },
    "protocols": [
      "UCP"
    ],
    "note": "Speaks UCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 971,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:36:36.935Z",
    "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."
}