Automatiqa Lab

Project Apache-2.0

in development 10%

Auspex

How does zero-shot forecasting work in supply chain?

Auspex is a prediction and forecasting harness for supply chain operations. Connect a table, pick a model, read the signs. Zero-shot tabular prediction and time-series forecasting behind one interface, with confidence intervals on every prediction, exposed as an MCP server.

Auspex is a prediction and forecasting harness for supply chain operations. Connect a dataset, choose a backend, get predictions with confidence intervals attached - no pipeline, no feature engineering, no training run.

It handles two task shapes today - tabular prediction for delay risk, quality and supplier scoring, and time-series forecasting for demand, inventory and freight - and the set will widen as zero-shot models prove themselves on more of the operational picture. Zero-shot foundation models sit behind the same interface as classic methods, so moving from exploration to production scoring is a config change rather than a rewrite.

The harness exposes itself as an MCP server, which means any agent can call prediction as a tool. Apache-2.0 licensed.

Changelog

From github.com/automatiqa-lab/auspexReleases and code changes only

daterepositorychangelicence
auspexAuspex - reserved plot: README, licence, gitignoreApache-2.0
Full history on GitHub ↗
projectAuspex
titleOpen-source agentic AI for supply chain operations
sheetproject
checkedin public