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Market intelligence for AI agents
For agent builders, AI engineers, and quants shipping autonomous trading systems.
Autonomous agents make decisions under uncertainty. LLMs describe markets in prose; pricing risk takes calibrated numbers. Agents need a probability surface they can query and pay for on demand.
Last reviewed May 2026 · 1 min read
How it works
Voyons is the probability primitive for autonomous agents: the intelligence layer of the agentic economy.
- Calibrated scenarios per request. Each call returns thousands of plausible price paths for the chosen pair and horizon. Agents compute pre-trade probabilities, stress-test allocations, and evaluate counterfactuals against the full distribution.
- Pay-per-request via x402. No account, no API key. The agent signs a stablecoin payment and attaches it to the HTTP request. Open standard (HTTP 402, v1).
- Agent-native API. REST plus Python SDK. Structured numerical outputs, no natural language, no hallucinations.
In practice
A typical agent loop:
POST /v1/scenarios/generation/
{
"model": "best",
"n_scenarios": 4096,
"n_steps": 24,
"inputs": {
"asset": "BTCUSDT",
"timeframe": "1h"
}
}
The response carries 4,096 simulated BTC paths over 24 hours.
The agent computes P(drawdown > 5%) from the distribution and
rebalances only when conviction exceeds its threshold.
Full integration via the Duon Labs Python SDK. x402 flow at duonlabs.com/x402.