New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

predict_orderbook

Returns live bid/ask depth from Polymarket CLOB for any market outcome token. Trading & market-making agents use this fo Cost: $0.005–$0.05 USDC on Base per call.

SERVERPredict — Prediction Market Data for AI Agents SOURCEhttps://predict.gocreativeai.com/mcp
Low RISK CLASS
Category Read
Parameters 11 required
Recommended Allowedsee the rule below
Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/com-gocreativeai-predict-predict/predict-orderbook.md

What predict_orderbook does on Predict — Prediction Market Data for AI Agents

AI agents call predict_orderbook to retrieve information from Predict — Prediction Market Data for AI Agents without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
arg string Yes

Parameters from the server's own tool schema.

Why predict_orderbook is rated Low

This tool retrieves live market data (bid/ask depth, order book information) from Polymarket. It has no side effects—it queries existing data without creating, modifying, deleting, or executing any transactions.

From the tool's definition Tool name 'predict_orderbook' and description 'Returns live bid/ask depth from Polymarket CLOB for any market outcome token' indicate data retrieval only.

Questions about predict_orderbook

What does the predict_orderbook tool do? +

Returns live bid/ask depth from Polymarket CLOB for any market outcome token. Trading & market-making agents use this fo Cost: $0.005–$0.05 USDC on Base per call. It is categorised as a Read tool in the Predict — Prediction Market Data for AI Agents MCP Server, which means it retrieves data without modifying state.

What parameters does predict_orderbook accept? +

predict_orderbook accepts 1 parameter: arg. Required: arg. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on predict_orderbook? +

Register the Predict — Prediction Market Data for AI Agents MCP server in PolicyLayer and add a rule for predict_orderbook: 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 Predict — Prediction Market Data for AI Agents. Nothing to install.

What risk level is predict_orderbook? +

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

Can I rate-limit predict_orderbook? +

Yes. Add a rate_limit block to the predict_orderbook 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 predict_orderbook completely? +

Set action: deny in the PolicyLayer policy for predict_orderbook. 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 predict_orderbook? +

predict_orderbook is provided by the Predict — Prediction Market Data for AI Agents MCP server (https://predict.gocreativeai.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Predict — Prediction Market Data for AI Agents, and thousands of servers like it.

Across the catalogue

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Predict — Prediction Market Data for AI Agents's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.