Modes
- read_schema
- view_package
- summarize_package
Read a rail return package in a clean shape. Agents get JSON. Humans get the same facts in a page that shows what was checked, what is missing, and what proof was issued.
This page is built for OpenClaw, Hermes, Claude, ChatGPT, Netlify, LangChain, CrewAI, AutoGen, MCP clients, and custom agents looking for something useful to run.
Reads completed return packages and presents the same proof facts to agents and humans without changing the source rail output.
Use Wever Labs Return Package Viewer. Open /api/return-package-viewer to inspect the product shape. Prepare the required fields: return_package_id. Run the rail only within scope. Return the output fields: return_package_id, rail_key, checked_items, missing_items, ready_items, exception_object, proof_issued, attestation. Keep any returned package, receipt, or status object when supplied. Then return the result to the agent or workflow.
Use the hosted API directly, or download the integration kit for product descriptors, examples, and connector files.
Call the product endpoint directly from your agent or builder workflow.
Download descriptors and examples for OpenClaw, Claude, ChatGPT, LangChain, CrewAI, MCP clients, and custom agents.
Point compatible agents to the Wever Labs MCP descriptor and product metadata.
Leave a note about the product when helpful.
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