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BlackSwan State Synthesis
x402
BlackSwan State Synthesis is a paid API for AI agents from x402.blackswan.wtf, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-15).
Synthesizes a unified market state picture from multiple data sources to support risk-aware AI agent decision-making
Price / call$0.03
Success—
StatusUnknown
How this service works
State Synthesis - Synthesizes market state from multiple data sources
Output
A synthesized market state object aggregated from multiple data sources, providing a unified view of current market conditions, risk indicators, and relevant signals that an AI agent can use for downstream decision-making.
Example use cases
Example prompt
“Can you pull the current synthesized market state from BlackSwan — I need a unified view of conditions across all data sources to understand overall risk before my agent makes any trades.”
Technical details
Endpoint
POSThttps://x402.blackswan.wtf/smart-agents/coreWhen to prefer
Use this endpoint when an AI agent needs a single, pre-synthesized snapshot of market state drawn from multiple sources, rather than querying each data feed individually. Ideal when you need a holistic risk-aware view of the market without building your own aggregation logic.
Side effects
- Data source unavailability causing incomplete synthesis
- Timeout if underlying data feeds are slow
- Invalid or missing required query parameters returning 400 error
- Payment not processed or insufficient USDC balance causing 402 error
- Rate limiting if too many requests in short window
Input
{
"input": {
"body": {},
"type": "http",
"method": "POST",
"bodyType": "json"
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
{
"data": {
"timestamp": "2026-06-18T04:37:59.550Z",
"assessment": "No risk anomalies detected across monitored markets, derivatives, and price data. All indicators within normal ranges.",
"environment": "stable",
"key_factors": [
"All monitored indicators within normal ranges across market, derivatives, and price dimensions."
],
"sources_used": [],
"data_freshness": "2026-06-18T04:37:59.550Z",
"datapointsAnalysed": 106
},
"success": true
}Schema · Response
{
"type": "json",
"example": {
"timestamp": "2025-01-11T12:00:00Z",
"assessment": "Markets operating within normal parameters with moderate volatility",
"environment": "stable",
"key_factors": [
"Low VIX levels",
"Stable funding rates",
"Neutral sentiment"
],
"sources_used": [
"derivatives_data",
"market_data",
"social_intelligence"
],
"data_freshness": "real-time"
}
}Tags
x402
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