APEX Runner: Agent Stress Index Signal

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0x8D0663BBb967ebF1c047405A888DDf865f3E8854",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "7000",
    "maxTimeoutSeconds": 300
  }
]

{
  "bazaar": {
    "category": "signal-analytics",
    "description": "Detects panic, uncertainty, and unusual call patterns from live signal_usage data. Stress score 0-100 from: risk signal spikes, repeated same-signal calls, unusual 3-5am UTC patterns, and bullish/bearish signal switching. High stress = potential market dislocation.",
    "example": {
      "anomalies": [
        {
          "description": "Risk signals called 8x in last hour vs baseline 1.2/hr",
          "severity": "HIGH",
          "type": "RISK_SIGNAL_SPIKE"
        }
      ],
      "market_implication": "High agent anxiety",
      "stress_level": "HIGH",
      "stress_score": 65
    },
    "info": {
      "input": {
        "method": "GET",
        "type": "http"
      },
      "output": {
        "activity_calls_last_hour": "integer",
        "activity_multiplier": "float vs 7-day baseline",
        "anomalies": "array of {type, description, severity}",
        "example": {
          "market_implication": "High agent anxiety — risk signals dominant",
          "stress_level": "HIGH",
          "stress_score": 65
        },
        "market_implication": "string",
        "stress_level": "CRITICAL/HIGH/ELEVATED/NORMAL/LOW",
        "stress_score": "integer 0-100",
        "type": "json"
      }
    },
    "name": "APEX Agent Stress Index",
    "outputSchema": {
      "anomalies": "array",
      "market_implication": "string",
      "stress_level": "string",
      "stress_score": "integer 0-100"
    },
    "schema": {
      "properties": {
        "input": {
          "properties": {
            "queryParams": {
              "properties": {},
              "type": "object"
            }
          },
          "required": [
            "method"
          ],
          "type": "object"
        },
        "output": {
          "properties": {
            "example": {
              "properties": {
                "_apex": {
                  "properties": {
                    "evolution_runs": {
                      "type": "integer"
                    },
                    "instance": {
                      "type": "string"
                    },
                    "live_capital_deployed": {
                      "type": "boolean"
                    },
                    "live_trading": {
                      "type": "boolean"
                    },
                    "signal": {
                      "type": "string"
                    },
                    "signal_hash": {
                      "type": "string"
                    },
                    "source": {
                      "type": "string"
                    },
                    "trades_backing_signal": {
                      "type": "integer"
                    },
                    "verify_at": {
                      "type": "string"
                    },
                    "version": {
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "activity_multiplier": {
                  "type": "number"
                },
                "agents_monitored": {
                  "type": "integer"
                },
                "anomalies": {
                  "items": {
                    "properties": {
                      "description": {
                        "type": "string"
                      },
                      "severity": {
                        "type": "string"
                      },
                      "type": {
                        "type": "string"
                      }
                    },
                    "type": "object"
                  },
                  "type": "array"
                },
                "market_implication": {
                  "type": "string"
                },
                "stress_level": {
                  "type": "string"
                },
                "stress_score": {
                  "type": "integer"
                },
                "timestamp": {
                  "type": "string"
                },
                "valid_for_seconds": {
                  "type": "integer"
                }
              },
              "type": "object"
            }
          },
          "type": "object"
        }
      },
      "type": "object"
    },
    "version": "1.0.0"
  }
}

curl "https://apexrunner.ai/signals/agent-stress-index"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

const res = await fetch("https://apexrunner.ai/signals/agent-stress-index");
if (res.status === 402) {
  const { accepts } = await res.json();
  // pay one of accepts[] via an x402 client, then retry with the payment header
}

import httpx
res = httpx.get("https://apexrunner.ai/signals/agent-stress-index")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header