Agent Economy Signal – Agent Brief is a paid API for AI agents from agent-economy-signal-x402-mainnet.bronzetti-andrea.workers.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-29).
Returns a deterministic market-intelligence signal (ACT_NOW, RESEARCH_NOW, MONITOR, DEPRIORITIZE, or IGNORE) for emerging opportunities in the AI agent economy across protocols, infrastructure, tooling, and machine-to-machine commerce.
Agent Decision Signal. Market intelligence for autonomous AI agents deciding what emerging agent-economy opportunity, infrastructure trend or research signal to investigate, build, monitor or deprioritize next. Returns a deterministic action with confidence, evidence, freshness, next action, stop conditions and provenance.
A structured brief containing a deterministic decision label (ACT_NOW, RESEARCH_NOW, MONITOR, DEPRIORITIZE, or IGNORE) along with underlying signal scores — conviction, acceleration, freshness, and persistence — covering emerging opportunities across AI agent protocols, infrastructure, tooling, and machine-to-machine commerce categories.
GEThttps://agent-economy-signal-x402-mainnet.bronzetti-andrea.workers.dev/premium/agent-brief?utm_source=zero.xyzChoose this endpoint when an AI agent or analyst needs a quick, opinionated, pre-computed market signal specifically about the agent economy — rather than raw data feeds or general market APIs. It is particularly useful for autonomous agents making timed resource-allocation decisions, as the deterministic output labels (ACT_NOW through IGNORE) are directly machine-actionable without further interpretation. Prefer this over general web search or news APIs when you need structured conviction scores and acceleration signals specific to agent protocols, agent tooling, and M2M commerce.
| Field | Type | Description |
|---|---|---|
| required | string | |
| properties | string |
{
"type": "json",
"example": {
"why_now": [
"Very high conviction signal.",
"13 fresh opportunities were detected in the last 24 hours.",
"Signal persistence is supported by 842 historical snapshots."
],
"decision": {
"score": 70,
"action": "RESEARCH_NOW",
"target": "MCP Security",
"priority": 2,
"confidence": "HIGH"
},
"evidence": {
"conviction": 100,
"acceleration": 0,
"snapshot_count": 842,
"evolution_status": "unknown",
"acceleration_delta": 0,
"acceleration_status": "unknown",
"fresh_opportunities_24h": 13
},
"price_usd": 0.02,
"next_action": {
"type": "research",
"target": "MCP Security",
"urgency": "medium"
},
"generated_at": "2026-08-18T17:19:32.264468+00:00",
"stop_conditions": [
{
"value": "decelerating",
"metric": "acceleration_status",
"operator": "equals"
},
{
"value": 70,
"metric": "conviction",
"operator": "below"
},
{
"value": 0,
"metric": "fresh_opportunities_24h",
"operator": "equals"
}
],
"fresh_opportunity": {
"link": "https://github.com/tianzizhiming-svg/agentbridge",
"tier": "A",
"title": "Show HN: I built an M2M payment loop where AI Agents pay for data via x402",
"signal_score": 38
},
"valid_for_seconds": 21600
}
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