ToolAssay

Market breadth and risk appetite

Market breadth and risk appetite. SPY, DXY, VIX sector signals. Equity and crypto breadth for portfolio allocation and risk assessment agents.

Answeringour last check, 2026-09-24
1 of 1checks answered this week
348 msmedian answer time
$0.02listed price per call
$0.02price it asked us

Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.

Endpoint

GET https://api.prereason.com/api/cross/breadth

CategoryMarket data
Provider hostapi.prereason.com
Networkseip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp
Payment schemesexact
Self-reported calls, 30 days1 from 1 payers (the provider's figure, not ours)

Our checks, last 30 days

DayResultHTTPAskedTime
2026-09-24 valid payment request 402$0.02 348 ms

Example input (from the provider)

{
  "method": "GET",
  "queryParams": {
    "format": "json"
  },
  "type": "http"
}

Promised output schema (from the provider)

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "input": {
      "additionalProperties": false,
      "properties": {
        "method": {
          "enum": [
            "GET"
          ],
          "type": "string"
        },
        "queryParams": {
          "properties": {
            "date": {
              "description": "Historical date in YYYY-MM-DD format. Access range depends on tier: Free=30d, Basic=from Jan 2025, Pro=all.",
              "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
              "type": "string"
            },
            "format": {
              "description": "Response format. markdown is token-optimized for LLMs, json is structured. Default is markdown.",
              "enum": [
                "json",
                "markdown"
              ],
              "type": "string"
            }
          },
          "type": "object"
        },
        "type": {
          "const": "http",
          "type": "string"
        }
      },
      "required": [
        "type",
        "method"
      ],
      "type": "object"
    },
    "output": {
      "properties": {
        "example": {
          "type": "object"
        },
        "type": {
          "type": "string"
        }
      },
      "required": [
        "type"
      ],
      "type": "object"
    }
  },
  "required": [
    "input"
  ],
  "type": "object"
}

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