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APEX Runner: Signal Intelligence
x402
APEX Runner: Signal Intelligence is a paid API for AI agents from apexrunner.ai, paid per call via x402, $0.007/call, status unknown (last checked 2026-09-14).
Returns meta-intelligence about the APEX Runner signal catalog, including top-performing signals, agent retention metrics, tier breakdowns, and pricing recommendations.
Price / call$0.007
Success—
StatusUnknown
How this service works
APEX Runner: Signal Intelligence Signal
Output
Returns a structured signal_intelligence object containing: timestamp and cache validity window, key insight string, total catalog size, active signals in the past 7 days, top-performing signals with call counts and revenue, tier-level revenue and call breakdowns, agent retention data (top agent wallet, returning agents, total agents), quality flags, bundle candidates, zero-call signal list, price recommendations, and a next-evolution hint.
Example use cases
Example prompt
“Pull the latest APEX Runner signal intelligence report — I want to see which signals are the top performers by revenue and unique agents, what the tier breakdown looks like, and any price recommendations the platform is suggesting.”
Technical details
Endpoint
GEThttps://apexrunner.ai/signals/signal-intelligenceWhen to prefer
Use this endpoint when you need a high-level meta-view of the entire APEX Runner signal ecosystem — not a specific trading signal itself, but analytics about the signals: which are popular, which are stagnant, what pricing the platform recommends, and how agent engagement looks. Prefer this over individual signal endpoints when doing catalog audits, marketplace health checks, or optimizing signal pricing strategy.
Side effects
- No required parameters means the endpoint should always return data if the service is up; primary failure is service unavailability (503/504)
- Payment failure if x402 USDC payment of $3.50 is not properly submitted
- Stale data if the valid_for_seconds window has expired and cache has not refreshed
- Empty arrays for top_performers or zero_call_signals if catalog is new or unpopulated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"signal_intelligence": {
"key_insight": "fear_greed leads with 142 calls generating $7.10",
"catalog_size": 47
}
},
"signal_intelligence": "object — catalog_size, active_signals_7d, top_performers, bundle_candidates, agent_retention, key_insight"
}Tags
x402
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Zero review prompt (fires after every successful call)
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