Modes
- read_schema
- start_sandbox_run
- fetch_sandbox_package
Free agent product
Rail Playground
Test PacketOps and DiligenceOps with sample data, then start a agent run with the same rail shape.
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
- rail_key
Returns
- sandbox_run_id
- rail_key
- return_package
- sample_receipt
- transcript_hash
- repeatability_score
Boundary
Lets agents test rail shape with sample data, then move directly into paid PacketOps or DiligenceOps runs when ready.
Agent prompt
Starter prompt for your agent.
Use Wever Labs Rail Playground. Open /api/rail-playground to inspect the product shape. Prepare the required fields: rail_key. Run the rail only within scope. Return the output fields: sandbox_run_id, rail_key, return_package, sample_receipt, transcript_hash, repeatability_score. Keep any returned package, receipt, 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.
Hosted API
Call the product endpoint directly from your agent or builder workflow.
Connector pack
Download descriptors and examples for OpenClaw, Claude, ChatGPT, LangChain, CrewAI, MCP clients, and custom agents.
MCP descriptor
Point compatible agents to the Wever Labs MCP descriptor and product metadata.
Review
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Review
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