Sends payment. Calls a paid endpoint on an onboarded APIHub service. Debits the endpoint's price from your credit balance and forwards the request to the upstream provider. Returns an object with the upstream response body, HTTP status, and credits_charged_microdollars. Requires a valid API key a...
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AI agents use apihub_call 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_call 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.
{
"version": "1",
"default": "deny",
"tools": {
"apihub_call": {
"limits": [
{
"counter": "apihub_call_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Mcp Server policy for all 9 tools.
These attack patterns abuse exactly the kind of access apihub_call gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Sends payment. Calls a paid endpoint on an onboarded APIHub service. Debits the endpoint's price from your credit balance and forwards the request to the upstream provider. Returns an object with the upstream response body, HTTP status, and credits_charged_microdollars. Requires a valid API key and sufficient credit balance; if balance is insufficient the call returns a 402 with payment requirements (use apihub_topup to add credits, apihub_balance to check). Use this for services already onboarded to APIHub (find slugs via apihub_search or apihub_list_services); use apihub_call_external for arbitrary x402 URLs not onboarded here, or apihub_read_content for content gateways.. 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.
Register the Mcp Server MCP server in PolicyLayer and add a rule for apihub_call: 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.
apihub_call is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the apihub_call 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 apihub_call. 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.
apihub_call 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.
Deterministic rules across all 9 Mcp Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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