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AgentGauntlet

github.com/Sub2mval/AgentGauntlet official repository

Open-source chaos engineering toolkit for testing LLM agents. Injects failures into context, instructions, tools, APIs, and data through Python instrumentation…

github projectSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Billing model
Last checked24 Aug 2026pricing & liveness

What it does

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

AgentGauntlet

Open-source chaos engineering toolkit for testing LLM agents. Injects failures into context, instructions, tools, APIs, and data through Python instrumentation…

Agentery has not yet captured structured capability detail for this provider.

Official AgentGauntlet links

Price status · observed daily

Source repository available · no commercial pricing observed.

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

Is AgentGauntlet good value?

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

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Niche
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

AgentGauntlet's local market

Nearest products by what they do.

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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": "agentgauntlet",
  "name": "AgentGauntlet",
  "url": "https://github.com/Sub2mval/AgentGauntlet",
  "logo": "https://github.com/Sub2mval.png?size=200",
  "niche": null,
  "category": null,
  "short_summary": "Open-source chaos engineering toolkit for testing LLM agents. Injects failures into context, instructions, tools, APIs, and data through Python instrumentation…",
  "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": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": null,
    "summary": null,
    "confidence": "high",
    "source_url": "https://github.com/pricing",
    "checked_at": "2026-08-23T04:22:51.010Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "github_project",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/Sub2mval/AgentGauntlet"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/Sub2mval/AgentGauntlet",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 692,
    "uptime_7d": 1,
    "checked_at": "2026-08-24T02:30:18.320Z",
    "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."
}