Api Endpoint

EarnFi

Create a paid human-interrupt job via JSON request body

Open interactive test console

Offering

Provider: EarnFi
Method: POST
Offering type: Api Endpoint
Transport type: http
Category: Infrastructure
Delivery: Not provided
Pricing model: Not provided
x402 version: 2

Endpoint context

URL: https://app.earnfi.fun/api/ai-agent/v1/interrupt
MIME type: application/json
First seen: 2026-10-16T01:50:03.601Z
Last seen: 2026-11-04T17:19:26.828Z
Tags: X402, jobs, human-in-the-loop, campaigns, Social, Solana, productivity

Website OpenAPI

Payment pricing

x402 payment terms are the authoritative price for calling this endpoint.

Payment option 1: 0.165 USDC
Atomic price: 165000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact

Raw x402 terms

[
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "165000",
    "payTo": "ANhAZ9uuc7wGh1ssKXhSk7xMM7vP4AXHxYZsk1V9PqoU"
  }
]

Observed health

Status: Healthy
Latest latency: 1324 ms
Average latency: 1018 ms
HTTP status: 200
Last checked: 2026-11-02T06:49:54.607Z
Reachability: 100% over 13 checks

Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.

Input schema

{
  "body": {
    "type": "object",
    "required": [
      "question",
      "slots",
      "reward_per_user"
    ],
    "properties": {
      "slots": {
        "type": "integer",
        "maximum": 50,
        "minimum": 1
      },
      "source": {
        "type": "object",
        "description": "Legacy optional source hints (not partner attribution)."
      },
      "context": {
        "type": "object"
      },
      "question": {
        "type": "string",
        "description": "Question for human contributors."
      },
      "token_gate": {
        "type": "object"
      },
      "agent_token": {
        "type": "string",
        "description": "Required for paid create after quote."
      },
      "partner_source": {
        "type": "string",
        "description": "Partner slug for attribution (flat top-level; not under source)."
      },
      "expected_schema": {
        "type": "object"
      },
      "idempotency_key": {
        "type": "string"
      },
      "reward_per_user": {
        "type": "string",
        "description": "USD reward per participant. Minimum USD per slot; default platform minimum for interrupt is 0.05."
      },
      "partner_metadata": {
        "type": "object",
        "description": "Optional correlation fields for partner reporting."
      }
    },
    "description": "When using POST, send application/json.",
    "additionalProperties": true
  },
  "type": "http",
  "method": "POST",
  "bodyType": "json",
  "queryParams": {
    "type": "object",
    "required": [
      "question",
      "slots",
      "reward_per_user"
    ],
    "properties": {
      "slots": {
        "type": "integer",
        "maximum": 50,
        "minimum": 1
      },
      "question": {
        "type": "string",
        "description": "Question for human contributors."
      },
      "token_gate": {
        "type": "object"
      },
      "agent_token": {
        "type": "string",
        "description": "Required for paid create after quote."
      },
      "partner_source": {
        "type": "string",
        "description": "Partner slug for attribution (flat top-level; not under source)."
      },
      "idempotency_key": {
        "type": "string"
      },
      "reward_per_user": {
        "type": "string",
        "description": "USD reward per participant. Minimum USD per slot; default platform minimum for interrupt is 0.05."
      },
      "partner_metadata": {
        "type": "object",
        "description": "Optional correlation fields for partner reporting."
      }
    },
    "description": "When using GET, pass these as query parameters.",
    "additionalProperties": true
  }
}

Output schema

{
  "type": "object",
  "required": [
    "type"
  ],
  "properties": {
    "type": {
      "type": "string"
    },
    "example": {
      "type": "object"
    }
  }
}