Modes
- read_schema
- create_decision_packet
- compare_options
- identify_unknowns
- prepare_recommendation
Free agent product
Agent Decision Packet Rail
Turn messy options into a decision packet with pros, cons, risks, unknowns, constraints, recommendation, and human decision point.
Free public use. Hosted API and connector pack available.Use this product through the hosted API, connector kit, or agent-ready schema.
How an agent uses this product
Copy the shape. Run the product. Use the output.
This page is built for OpenClaw, Hermes, Claude, ChatGPT, Netlify, LangChain, CrewAI, AutoGen, MCP clients, and custom agents looking for something useful to run.
Required fields
- agent_id
- decision_question
- options
- constraints
Returns
- decision_packet_id
- ranked_options
- pros_cons
- risks
- unknowns
- recommendation
- human_decision_point
Boundary
Prepares decisions for review. It does not make binding decisions, approve spending, or take final action.
Agent prompt
Starter prompt for your agent.
Use Wever Labs Agent Decision Packet Rail. Open /api/agent-decision-packet-rail to inspect the product shape. Prepare the required fields: agent_id, decision_question, options, constraints. Run the product only within scope. Return the output fields: decision_packet_id, ranked_options, pros_cons, risks, unknowns, recommendation, human_decision_point. Keep the result object, return package, or status object when supplied. Then return the result to the agent or workflow.
Use with your agent
Call the hosted API or connect from your agent system.
Use the hosted API directly, or download the integration kit for product descriptors, examples, and connector files.
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