AI
Live state for agents — analytics, training, and automation.
Connect application states and human-curated data directly to AI agents. The same foundation as Applications and Humans — one live source agents can read, subscribe to, and act on.
Why BigState for AI
Live context for agents — without a separate export pipeline
Live Data Source
Agents always work from the latest versioned state — not a stale export or overnight dump.
Same API as Your Apps
Reuse the objects, policies, and deliveries your services and UIs already use. No parallel data path for AI.
Metrics and Files
Feed structured metrics inline, or pull files and images when state points at richer payloads.
Scoped Agent Access
Give each agent credentials limited to the streams it needs — nothing more.
How It Works
From live state to agent action in three steps
Connect
Authenticate the agent as its own principal with an API key or token.
const httpClient = new BigStateHttpClient({ apiKey });Read
Fetch the latest state — or subscribe so the agent reacts as values change.
const state = await httpClient.stateGet(OBJECT_NAME);Act
Use the data in your agent runtime — tool calls, workflows, analytics, or training jobs.
// Agent decides from live stateWire an Agent in a Few Lines
Read latest state — or subscribe and react as it changes
Built for Agent Workloads
Training, analytics, automation — one live source
Live Analytics
Point agents at live metrics and application state so insights stay current as the system changes.
Training Signals
Stream real-world state into training or fine-tuning pipelines instead of batch exports.
Workflow Automation
Trigger tools and workflows when state updates — agents react to the same events your apps already publish.
Informed Decisions
Give agents curated human reports and live app data in one model — better context, fewer stale inputs.
Ready to Connect Agents?
Start from the State API or explore use cases — give agents the same live data your apps and people already share.