agent-production-1daa.up.railway.app

{
  "_source": "agentic.market",
  "service": {
    "id": "agent-production-1daa-up-railway-app",
    "name": "agent-production-1daa.up.railway.app",
    "description": "LLM inference API for AI agents: OpenAI-compatible chat completions paid per request in USDC on Base. No account or API key. Summarize, classify, extract, translate, generate and chat with gpt-5.4-nano, gpt-5.4-mini, gpt-5.4, gpt-5.5, gpt-4o-mini and more. Misses billed at cost + 4% on actual token usage (upto scheme); deterministic repeats (temperature 0) are cache hits billed at 55% of provider price \u2014 loops get cheaper automatically. From $0.001/call, standard OpenAI POST format.",
    "domain": "agent-production-1daa.up.railway.app",
    "provider": "agent-production-1daa.up.railway.app",
    "providerUrl": "",
    "category": "",
    "networks": [
      "Base"
    ],
    "enriched": false,
    "endpoints": [
      {
        "url": "https://agent-production-1daa.up.railway.app/v1/chat/completions",
        "description": "LLM inference API for AI agents: OpenAI-compatible chat completions paid per request in USDC on Base. No account or API key. Summarize, classify, extract, translate, generate and chat with gpt-5.4-nano, gpt-5.4-mini, gpt-5.4, gpt-5.5, gpt-4o-mini and more. Misses billed at cost + 4% on actual token usage (upto scheme); deterministic repeats (temperature 0) are cache hits billed at 55% of provider price \u2014 loops get cheaper automatically. From $0.001/call, standard OpenAI POST format.",
        "pricing": {
          "amount": "0.001",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "upto",
          "maxAmount": "0.001",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "max_tokens",
            "type": "number",
            "description": "",
            "example": 256,
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "messages",
            "type": "array",
            "description": "",
            "example": [],
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "model",
            "type": "string",
            "description": "",
            "example": "gpt-5.4-nano",
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "temperature",
            "type": "number",
            "description": "",
            "example": 0,
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "x402 inference gateway",
        "tags": [
          "inference",
          "llm",
          "openai",
          "chat-completions",
          "gpt-5.4"
        ],
        "quality": {
          "l30DaysTotalCalls": "11",
          "l30DaysUniquePayers": "2"
        }
      },
      {
        "url": "https://agent-production-1daa.up.railway.app/v1/embeddings",
        "description": "Text embeddings API for AI agents: OpenAI-compatible /v1/embeddings paid per request in USDC on Base \u2014 no account or API key. Embed documents for RAG, semantic search, clustering, deduplication with text-embedding-3-small or text-embedding-3-large. Embeddings are deterministic, so repeated texts hit our cache and bill at 55% of provider price \u2014 re-embedding a corpus costs roughly half. Misses at cost + 4%, from $0.001/call. Standard OpenAI POST format.",
        "pricing": {
          "amount": "0.001",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "upto",
          "maxAmount": "0.001",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "input",
            "type": "string",
            "description": "",
            "example": "The quick brown fox jumps over the lazy dog",
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "model",
            "type": "string",
            "description": "",
            "example": "text-embedding-3-small",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "x402 inference gateway",
        "tags": [
          "embeddings",
          "rag",
          "semantic-search",
          "vector",
          "openai"
        ],
        "quality": {
          "l30DaysTotalCalls": "3",
          "l30DaysUniquePayers": "1"
        }
      }
    ],
    "integrationType": "",
    "isNew": false,
    "priceSummary": {
      "minAmount": "0.001",
      "maxAmount": "0.001",
      "avgCostPerTransaction": "",
      "avgCostBasis": "varies",
      "currency": "USDC"
    },
    "serviceName": "x402 inference gateway",
    "tags": [
      "inference",
      "llm",
      "openai",
      "chat-completions",
      "gpt-5.4",
      "embeddings",
      "rag",
      "semantic-search",
      "vector"
    ],
    "iconUrl": ""
  }
}