Batch research — submit up to 5 queries in one call, processed in parallel. Costs $0.10 USDC total via x402. More efficient than individual research calls for multi-topic analysis.
AI agents call batch-research to retrieve information from Agentoracle without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though batch-research only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Batch research — submit up to 5 queries in one call, processed in parallel. Costs $0.10 USDC total via x402. More efficient than individual research calls for multi-topic analysis. It is categorised as a Read tool in the Agentoracle MCP Server, which means it retrieves data without modifying state.
Register the Agentoracle MCP server in PolicyLayer and add a rule for batch-research: 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 Agentoracle. Nothing to install.
batch-research 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 batch-research 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 batch-research. 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.
batch-research is provided by the Agentoracle MCP server (tkcollective/agentoracle-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.