Costs 1 credit ($0.02). The signed failover ruling: provider A is degraded, this is the best operational provider to fail over to for a task right now, with the full candidate (pricing, measured p95 latency, quality), the ranked alternatives, the confirmed incident on A, and an AFTA-signed receip...
Part of the TensorFeed server.
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AI agents call failover_verdict to retrieve information from TensorFeed 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 failover_verdict 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.
{
"version": "1",
"default": "deny",
"tools": {
"failover_verdict": {}
}
}See the full TensorFeed policy for all 79 tools.
These attack patterns abuse exactly the kind of access failover_verdict gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Costs 1 credit ($0.02). The signed failover ruling: provider A is degraded, this is the best operational provider to fail over to for a task right now, with the full candidate (pricing, measured p95 latency, quality), the ranked alternatives, the confirmed incident on A, and an AFTA-signed receipt. Versus the free failover_verdict_preview it adds the candidate's pricing, measured latency, and quality, the ranked alternatives, and the receipt, with no rate limit. Confirms A against live incident triage and excludes any provider already in failover. 30-minute operational freshness SLA. Get credits at tensorfeed.ai/developers/agent-payments. Strict premium, no free trial.. It is categorised as a Read tool in the TensorFeed MCP Server, which means it retrieves data without modifying state.
Register the TensorFeed MCP server in PolicyLayer and add a rule for failover_verdict: 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 TensorFeed. Nothing to install.
failover_verdict is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the failover_verdict 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 failover_verdict. 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.
failover_verdict is provided by the TensorFeed MCP server (https://mcp.tensorfeed.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 79 TensorFeed tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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