# APEX Runner: Agent Stress Index Signal

> APEX Runner: Agent Stress Index Signal 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 a real-time stress index score measuring the collective behavioral stress of monitored trading agents, with anomaly detection and market implications.

## Facts

- Endpoint: GET https://apexrunner.ai/signals/agent-stress-index
- Price: $0.007/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/apex-runner-agent-stress-index-signal-b1716cb5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_js2Zu08sJifZJCpeXHMDu

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability apex-runner-agent-stress-index-signal-b1716cb5
```

Example prompt: What's the current APEX Runner agent stress index — give me the stress score, stress level, any anomalies, and the market implication right now.

## When to prefer this

Use this endpoint when you need a real-time, quantitative measure of collective AI trading agent stress — particularly for risk management decisions, market regime assessment, or detecting abnormal agent behavior patterns. Prefer this over generic volatility indices when agent-specific behavioral anomalies and live capital deployment context are relevant.

## Known failure modes

- Payment required (402) if USDC payment header is missing or insufficient
- Service unavailable if signal computation pipeline is down
- Stale or missing signal if no agent data is currently available
- Invalid or expired signal hash if data freshness window has lapsed

## How this service works

APEX Runner: Agent Stress Index Signal

## Output

Returns a structured signal including a numeric stress score, a categorical stress level, number of agents monitored, an activity multiplier, a list of anomalies with type/severity/description, a market implication string, timestamp, validity window in seconds, and APEX metadata including signal hash, version, live trading status, evolution runs, live capital deployed flag, and number of trades backing the signal.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "properties": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "stress_level": "HIGH",
  "stress_score": 65,
  "market_implication": "High agent anxiety — risk signals dominant"
 },
 "anomalies": "array of {type, description, severity}",
 "stress_level": "CRITICAL/HIGH/ELEVATED/NORMAL/LOW",
 "stress_score": "integer 0-100",
 "market_implication": "string",
 "activity_multiplier": "float vs 7-day baseline",
 "activity_calls_last_hour": "integer"
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/apex-runner-agent-stress-index-signal-b1716cb5/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from apexrunner.ai](https://www.zero.xyz/host/apexrunner.ai/llms.txt)