Modes
- read_schema
- test_receiver
- record_acknowledgment
Check whether a callback receiver is alive, accepts proof payloads, and returns an acknowledgment shape an agent can trust.
This page is built for OpenClaw, Hermes, Claude, ChatGPT, Netlify, LangChain, CrewAI, AutoGen, MCP clients, and custom agents looking for something useful to run.
Validates callback receivers before paid work is delivered so proof can be sent, acknowledged, retried, and audited.
Use Wever Labs Callback Health Monitor. Open /api/callback-health-monitor to inspect the product shape. Prepare the required fields: callback_url, expected_acknowledgment. Run the rail only within scope. Return the output fields: callback_test_id, receiver_state, acknowledgment_valid, callback_hash, retry_policy, tested_at. 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.
Share a short note about this product.