Monte Carlo Agent Observabilit
Enterprise platform for monitoring, tracing, evaluating, and troubleshooting AI agents across their data, context, behavior, performance, and outputs.
What it does
The specific capability behind this listing, and where to get it.
Monte Carlo Agent Observabilit
Enterprise platform for monitoring, tracing, evaluating, and troubleshooting AI agents across their data, context, behavior, performance, and outputs.
Agentery has not yet captured structured capability detail for this provider.
Official Monte Carlo Agent Observabilit links
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Monte Carlo Agent Observabilit good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable Agent Observability Eval
Alternatives in the same niche, with observed price and liveness where available.






See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "monte_carlo_agent_observabilit",
"name": "Monte Carlo Agent Observabilit",
"url": "https://montecarlo.ai/platform/agent-observability/",
"logo": "https://www.google.com/s2/favicons?domain=montecarlo.ai&sz=128",
"niche": "agent-observability-eval",
"category": "developer-tools-infra",
"short_summary": "Enterprise platform for monitoring, tracing, evaluating, and troubleshooting AI agents across their data, context, behavior, performance, and outputs.",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "contact_sales",
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"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "Monte Carlo lists four tiers with consumption-based pricing and requires buyers to request pricing for exact costs.",
"confidence": "high",
"source_url": "https://montecarlo.ai/request-for-pricing/",
"checked_at": "2026-07-28T05:35:12.592Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Start",
"price": "Request pricing",
"period": null,
"persona": "other",
"highlights": [
"Observability for Agents, ML, Data, and Performance",
"Up to 10 users",
"Pay per monitor, up to 1,000",
"10,000 API calls per day"
],
"price_annual": null
},
{
"name": "Scale",
"price": "Request pricing",
"period": null,
"persona": "team_sme",
"highlights": [
"Everything in Start",
"Advanced security features",
"Unlimited users",
"Pay per monitor",
"50,000 API calls per day"
],
"price_annual": null
},
{
"name": "Enterprise",
"price": "Request pricing",
"period": null,
"persona": "enterprise",
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"Everything in Scale",
"Multi-workspace support",
"Unlimited users",
"Pay per monitor",
"100,000 API calls per day"
],
"price_annual": null
},
{
"name": "Business Critical",
"price": "Request pricing",
"period": null,
"persona": "team_sme",
"highlights": [
"Everything in Enterprise",
"Dedicated instance",
"Disaster recovery",
"Unlimited users",
"Pay per monitor"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "commercial_agent_product",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://montecarlo.ai/platform/agent-observability/"
],
"last_checked": null,
"how_to_connect": {
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"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 818,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:36:13.326Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
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"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}