driftoracle
IntegrationMonitoring & opsDriftOracle is a monitoring integration that lets your AI keep watch over machine learning models and the data that feeds them. Once added, your AI can spot when data or model behavior starts to drift from what was expected, raise alerts, and put together evidence packs that document what changed.
Serves today. ahel can serve it to every connected agent through your gateway link.
After adding DriftOracle, tell your AI which model or dataset to watch and ask it to run a drift check or set up alerts.
What your AI can do with it
- Monitor models and their input data for drift
- Measure data shifts using PSI and KS-test checks
- Raise alerts when drift is detected
- Compile evidence packs that document drift findings
- Draw on 15 monitoring tools for different drift checks
Advanced
- Delivery
- driftoracle MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-tooloracle-driftoracle- Source
- github.com/tooloracle/driftoracle
- Hosted endpoint
https://tooloracle.io/drift/mcp/