Heisenberg's intelligence layer has two sides. A distributed network ingests live data at scale, while data agents restructure it into runtime intelligence — delivered to your agent through one endpoint. No scrapers. No batch jobs. No pipelines to maintain.
Static APIs can't powerruntime intelligence.
Data APIs were built for humans. Heisenberg is built for agents — a distributed network that ingests live data from thousands of sources and restructures it into real-time, structured context. No scrapers. No stale snapshots. No pipelines to maintain.
One endpoint.Runtime intelligencefor your agents.
Connect via MCP or REST. Your agent calls one endpoint and gets structured, live intelligence — Prediction Market Intelligence, Web Intelligence. Minutes to integrate, 90% lower compute, 100× lower dev cost.
___FROM THE NETWORK TO YOUR AGENT.
SELECT
a Data Agent
Your AI picks the Data Agent it needs, by domain, topic, or source.
PERSONALIZE
Effortlessly
Customize context on the fly with prompts, filters, or memory.
DEPLOY
with Ease
Structured, real-time context flows into your agent, instantly usable, no setup and dev required.
Share
Compute Power
Run a node and contribute CPU to power Data Agents.
Power
Data Agents
Your compute runs pipelines that structure data into real-time context.
Earn
Rewards
Get rewarded in Heisenberg Tokens for fueling the network.
Ecosystem
Ecosystem
___
Usage compoundsinto advantage.
Distributed Network
Thousands of DePIN nodes powering live data access. Owned by the network, not a single provider.
Compounding Models
Proprietary models trained on usage data. Every API call refines the layer — most-used endpoints become proprietary advantages.
Embedded Distribution
Available via MCP and API. Embedded where agents already work — Claude, your stack, anywhere.
