Low Risk

prediction.quote

Simulates a Polymarket CLOB order fill by walking the live order book, computing average fill price, total cost in USDC, slippage from mid-price in percentage and basis points, and available book depth for a given size. Call this before prediction.order to validate that the book can absorb the de...

Part of the Syenite server.

prediction.quote is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call prediction.quote to retrieve information from Syenite without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though prediction.quote only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "prediction.quote": {}
  }
}

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Get this rule live on your own Syenite server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access prediction.quote gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so prediction.quote only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the prediction.quote tool do? +

Simulates a Polymarket CLOB order fill by walking the live order book, computing average fill price, total cost in USDC, slippage from mid-price in percentage and basis points, and available book depth for a given size. Call this before prediction.order to validate that the book can absorb the desired position size at an acceptable price. Requires tokenId (from prediction.trending/search), side (buy or sell), outcome (YES or NO — informational label only), and size in shares; optionally pass orderType (market or limit) and limitPrice. Returns a partial-fill warning if the book cannot fully absorb the requested size, and a slippage warning if estimated slippage exceeds 5%. Polymarket CLOB currently charges zero maker and taker fees. Does not place an order.. It is categorised as a Read tool in the Syenite MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on prediction.quote? +

Register the Syenite MCP server in PolicyLayer and add a rule for prediction.quote: 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 Syenite. Nothing to install.

What risk level is prediction.quote? +

prediction.quote is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit prediction.quote? +

Yes. Add a rate_limit block to the prediction.quote 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.

How do I block prediction.quote completely? +

Set action: deny in the PolicyLayer policy for prediction.quote. 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.

What MCP server provides prediction.quote? +

prediction.quote is provided by the Syenite MCP server (@syenite/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Syenite tool call.

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