Sigma Market Intelligence
Sigma SCOUT: compact read-only market opportunity evidence for autonomous agents.
Offering
- Provider
- sigma-api-oracle.tailae0cf3.ts.net
- Method
- GET
- Offering type
- Api Endpoint
- Transport type
- http
- Category
- Prediction Markets
- Delivery
- Not provided
- Pricing model
- Not provided
- x402 version
- 2
Endpoint context
- URL
https://sigma-api-oracle.tailae0cf3.ts.net/v1/market/scan- MIME type
- application/json
- First seen
- 2026-10-16T01:50:45.949Z
- Last seen
- Tags
- market-intelligence, crypto-research, decision-evidence, scout
Payment pricing
x402 payment terms are the authoritative price for calling this endpoint.
- Payment option 1
- 0.02 USDC
Atomic price: 20000 · Network: eip155:84532 · Asset: USDC · Scheme: exact
Raw x402 terms
[
{
"scheme": "exact",
"network": "eip155:84532",
"asset": "0x036CbD53842c5426634e7929541eC2318f3dCF7e",
"amount": "20000",
"payTo": "0xf7de9e663618Fc0913b3823bf5403e9507633f90"
}
]Observed health
- Status
- Healthy
- Latest latency
- 1436 ms
- Average latency
- 1533 ms
- HTTP status
- 402
- Last checked
- Reachability
- 100% over 14 checks
Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.
Input schema
{
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"type": "string",
"enum": [
"GET"
]
},
"queryParams": {
"type": "object",
"properties": {
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 20,
"default": 10
}
},
"additionalProperties": false
}
},
"required": [
"type",
"method"
],
"additionalProperties": false
}Output schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"additionalProperties": false,
"properties": {
"limit": {
"default": 10,
"maximum": 20,
"minimum": 1,
"type": "integer"
}
},
"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"
}