The primary friction tool. Use this FIRST when a user shares a new startup idea or business concept. Executes the full pipeline: Pattern Scan + Loss Simulation + Revenue Gate + Micro-Correction. Fetches real-time market intelligence from Reddit, HackerNews, GitHub, and Polymarket for multi-source...
AI agents invoke run_the_bet to trigger actions in openGlad. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool orchestrates a complex multi-step analytical pipeline (Pattern Scan + Loss Simulation + Revenue Gate + Micro-Correction) with external API calls to multiple data sources. While it does not modify data (Write), delete data (Destructive), or move money (Financial), it executes non-trivial logic and external operations whose side effects depend on input arguments (the startup idea/concept provided).
From the tool's definition Tool description states it 'Executes the full pipeline' and 'Fetches real-time market intelligence from Reddit, HackerNews, GitHub, and Polymarket' — these are active operations that trigger external data retrieval and processing logic.
Documented attack patterns abuse exactly the kind of access run_the_bet gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and openGlad, and nothing reaches the server without passing your rules. This is the rule we recommend for run_the_bet:
{
"version": "1",
"default": "deny",
"tools": {
"run_the_bet": {
"limits": [
{
"counter": "run_the_bet_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}run_the_bet stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
The primary friction tool. Use this FIRST when a user shares a new startup idea or business concept. Executes the full pipeline: Pattern Scan + Loss Simulation + Revenue Gate + Micro-Correction. Fetches real-time market intelligence from Reddit, HackerNews, GitHub, and Polymarket for multi-source grounding. Returns a comprehensive reality check — present the full output to the user without summarizing. It is categorised as a Execute tool in the openGlad MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the openGlad MCP server in PolicyLayer and add a rule for run_the_bet: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches openGlad. Nothing to install.
run_the_bet is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_the_bet rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for run_the_bet. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
run_the_bet is provided by the openGlad MCP server (tuguberk/openglad). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from openGlad, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
13 openGlad tools catalogued and risk-classified — across an index of 43,000+ MCP servers.