Medium Risk

apihub_balance

Read-only. Returns your current APIHub credit balance (in microdollars and USD), total lifetime spending (microdollars and USD), and total completed request count. Requires a valid API key. Use before apihub_call or apihub_call_external to confirm sufficient funds for a paid request, or periodica...

Part of the Mcp Server server.

apihub_balance can modify Mcp Server data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use apihub_balance to create or modify resources in Mcp Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call apihub_balance repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Mcp Server.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "apihub_balance": {
      "limits": [
        {
          "counter": "apihub_balance_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access apihub_balance 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 apihub_balance only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the apihub_balance tool do? +

Read-only. Returns your current APIHub credit balance (in microdollars and USD), total lifetime spending (microdollars and USD), and total completed request count. Requires a valid API key. Use before apihub_call or apihub_call_external to confirm sufficient funds for a paid request, or periodically to audit usage. Does not modify state, send payments, or call upstream APIs; for top-ups use apihub_topup.. It is categorised as a Write tool in the Mcp Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on apihub_balance? +

Register the Mcp Server MCP server in PolicyLayer and add a rule for apihub_balance: 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 Mcp Server. Nothing to install.

What risk level is apihub_balance? +

apihub_balance is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit apihub_balance? +

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

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

apihub_balance is provided by the Mcp Server MCP server (https://mcp.apihub.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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