Agentery pricing intelligence · Provider profile · Guardrails AI
Provider profile · independently tracked by Agentery
Guardrails AI
detects policy violations, hallucinations, and data leakage in LLM outputs; generates synthetic datasets and eval datasets for testing AI applications
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.
Guardrails AI
detects policy violations, hallucinations, and data leakage in LLM outputs; generates synthetic datasets and eval datasets for testing AI applications
LLM outputs, prompts, AI application data → runtime guardrails enforcement, blocked outputs, synthetic datasets, eval datasets targeting edge cases
any LLMautonomy: infrastructure
Official Guardrails AI links
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 Guardrails 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
NicheAgent Observability Eval
Price benchmarknot applicable
What to compare instead
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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": "guardrails_ai",
"name": "Guardrails AI",
"url": "https://guardrailsai.com",
"logo": "https://agentery.com/logos/CP-S89TNV.png",
"niche": "agent-observability-eval",
"category": "developer-tools-infra",
"short_summary": "detects policy violations, hallucinations, and data leakage in LLM outputs; generates synthetic datasets and eval datasets for testing AI applications",
"task_performed": "detects policy violations, hallucinations, and data leakage in LLM outputs; generates synthetic datasets and eval datasets for testing AI applications",
"inputs_accepted": [
"LLM outputs",
"prompts",
"AI application data"
],
"outputs_produced": [
"runtime guardrails enforcement",
"blocked outputs",
"synthetic datasets",
"eval datasets targeting edge cases"
],
"integrations_available": [
"any LLM"
],
"protocols_or_interfaces": [],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"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 pricing or plan amounts are shown on the supplied homepage or Guardrails Hub page.",
"confidence": "high",
"source_url": "https://guardrailsai.com/hub",
"checked_at": "2026-07-26T09:16:17.701Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"case studies",
"customer testimonial (Masterclass Head of AI)",
"trusted by enterprises, startups and government agencies"
],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://guardrailsai.com",
"https://github.com/guardrails-ai/guardrails"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://guardrailsai.com",
"docs": "https://guardrailsai.com/docs",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"guardrails_ai\": {\n \"url\": \"https://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 736,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:34:20.726Z",
"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."
}