Low Risk

blockrun_surf

Unified crypto data via Surf (asksurf.ai) \u2014 84 endpoints, one API. Coverage: CEX market data (16 exchanges), on-chain SQL across 13 chains, 100M+ labeled wallets, prediction markets (Polymarket + Kalshi), social mindshare / CT intelligence, news, unified search, and Surf-1.5 chat with citati...

Part of the Blockrun server.

blockrun_surf 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 blockrun_surf to retrieve information from Blockrun 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 blockrun_surf 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": {
    "blockrun_surf": {}
  }
}

See the full Blockrun policy for all 16 tools.

Get this rule live on your own Blockrun 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 blockrun_surf gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so blockrun_surf 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 blockrun_surf tool do? +

Unified crypto data via Surf (asksurf.ai) \u2014 84 endpoints, one API. Coverage: CEX market data (16 exchanges), on-chain SQL across 13 chains, 100M+ labeled wallets, prediction markets (Polymarket + Kalshi), social mindshare / CT intelligence, news, unified search, and Surf-1.5 chat with citations. Pricing (settled in USDC to Surf. It is categorised as a Read tool in the Blockrun MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on blockrun_surf? +

Register the Blockrun MCP server in PolicyLayer and add a rule for blockrun_surf: 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 Blockrun. Nothing to install.

What risk level is blockrun_surf? +

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

Can I rate-limit blockrun_surf? +

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

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

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

Enforce policy on every Blockrun tool call.

Deterministic rules across all 16 Blockrun tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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