AIPI (ATOM Inference Price Index) — chained matched-model price benchmarks for AI inference. Returns benchmark prices across index families (Text, Image, Audio, Video, Multimodal, Composite) with input, cached, and output pricing per period. These are market-wide benchmarks, not individual vendor...
Part of the ATOM Pricing Intelligence server.
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AI agents call get_index_benchmarks to retrieve information from ATOM Pricing Intelligence 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 get_index_benchmarks 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": {
"get_index_benchmarks": {}
}
}See the full ATOM Pricing Intelligence policy for all 8 tools.
These attack patterns abuse exactly the kind of access get_index_benchmarks 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.
AIPI (ATOM Inference Price Index) — chained matched-model price benchmarks for AI inference. Returns benchmark prices across index families (Text, Image, Audio, Video, Multimodal, Composite) with input, cached, and output pricing per period. These are market-wide benchmarks, not individual vendor prices. Use them to understand where the market is and how it's moving. Fully public — available to all tiers. Examples: - "What's the current benchmark for text inference?" → index_category="Text" - "Show me all AIPI indexes" → (no params) - "AIPI-TXT-GLB history" → index_code="AIPI-TXT-GLB". It is categorised as a Read tool in the ATOM Pricing Intelligence MCP Server, which means it retrieves data without modifying state.
Register the ATOM Pricing Intelligence MCP server in PolicyLayer and add a rule for get_index_benchmarks: 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 ATOM Pricing Intelligence. Nothing to install.
get_index_benchmarks 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 get_index_benchmarks 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 get_index_benchmarks. 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.
get_index_benchmarks is provided by the ATOM Pricing Intelligence MCP server (atom-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 8 ATOM Pricing Intelligence tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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