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Dashboard/Servers/x402-gateway-production.up.railway.app
SolanaBasePolygonArbitrumOptimismAvalancheBNBSKALE
SolanaBasePolygonArbitrumOptimismAvalancheBNBSKALE
x402-gateway-production.up.railway.app

x402-gateway-production.up.railway.app

7 resources3711ms p50

x402-gateway-production.up.railway.app

AI-authored, unreviewedclaude-sonnet-4-6

This host aggregates four unrelated capabilities under a single payment gateway: sandboxed code execution, crypto market snapshots, vector embeddings, and LLM text generation. It serves agents that need one or more of these primitives without standing up separate infrastructure. It is not specialized in any single domain and does not offer streaming, persistence, or inter-skill orchestration natively.

Capabilities

LLM Text Generation
Generates text completions, structured JSON, summaries, and conversational responses using a hosted Llama-family model with configurable sampling parameters.
generate-text-llama
Text Embeddings
Converts text strings into dense vector representations suitable for semantic search, clustering, and similarity scoring.
generate-text-embeddings
Remote Code Execution
Runs arbitrary code snippets in a remote sandbox and returns stdout, stderr, exit code, and timing, eliminating the need for local execution infrastructure.
run-code-snippet
Crypto Market Data
Retrieves a ranked snapshot of top cryptocurrency market entries including price, volume, market cap, supply, and 24h change metrics for multiple coins in a single call.
fetch-crypto-markets

Workflows

Crypto Market Analysis with LLM Summary
Use when an agent needs to fetch current crypto market data and then produce a human-readable analysis, summary, or structured report from that data.
  1. 1
    fetch-crypto-marketsRetrieve current price, volume, market cap, and 24h change data for top cryptocurrencies.
  2. 2
    generate-text-llamaPass the market data as context in a prompt to generate a natural-language summary, trend analysis, or structured JSON report.
Semantic Search Index Builder
Use when an agent needs to embed a corpus of text and then use an LLM to reason over or rank the most semantically relevant results.
  1. 1
    generate-text-embeddingsConvert candidate text documents or query strings into vector representations.
  2. 2
    generate-text-llamaUse the LLM to synthesize, rerank, or explain the results identified via embedding similarity.
LLM-Generated Code Execution
Use when an agent needs to generate a code snippet with an LLM and then immediately execute it to verify correctness or retrieve computed output.
  1. 1
    generate-text-llamaPrompt the Llama model to produce a code snippet in a target language based on a task description.
  2. 2
    run-code-snippetExecute the generated code in the remote sandbox and return stdout, stderr, and exit code to validate the result.

Use this host in Claude

Copy the skill below, then add it on claude.ai under Skills → Create skill → Upload.

Machine-readable: skills.json · SKILL.md · manifest.json
$0.00
across0settlements·$0.00avg
0buyers
0sellers
All-time context: $0.006 across 3 settlements

Resources (7)

All-time breakdown
ResourceCategoryQualityTierTxnsVolume
x402-gateway-production.up.railway.app
X402 Embeddings API
https://x402-gateway-production.up.railway.app/api/embeddings
AI
72
host level——
x402-gateway-production.up.railway.app
x402 Llama Gateway
https://x402-gateway-production.up.railway.app/api/llm/llama
AI
82
host level——

Own x402-gateway-production.up.railway.app? List it with your agent

Paste the prompt below to your coding agent. It runs a real paid test on every route, fixes what scores low, and re-auditions until they pass — the gaps below are already filled in for you.

  • 5 routes are in the 50–74 band — working, but with room to climb.
  • 4 routes are flagged by the verifier as failing or inconclusive.
Paste this to your agent
Make my x402 API at https://x402-gateway-production.up.railway.app discoverable on x402gle. Read the instructions at https://x402gle.com/agent.md and follow them end to end. Install the OpenDexter CLI, then run `npx @dexterai/opendexter audition https://x402-gateway-production.up.railway.app --json`. Read the score and fixInstructions for every route, fix my OpenAPI and endpoints until each route passes, and re-audition until it does. A passing audition lists my API automatically.

New to this? How agent-first onboarding works.

Latest Settlements

Live feed
ForViaChainAmountBuyerTxTime
x402-gateway-production.up.railway.app
X402 Crypto Markets
https://x402-gateway-production.up.railway.app/api/crypto/markets
Data
84
host level——
x402-gateway-production.up.railway.app
X402 FastImage
https://x402-gateway-production.up.railway.app/api/image/fast
AI
58
host level——
x402-gateway-production.up.railway.app
Pic2Text OCR
https://x402-gateway-production.up.railway.app/api/image/text
AI
68
host level——
x402-gateway-production.up.railway.app
Image Quality Analyzer
https://x402-gateway-production.up.railway.app/api/image/quality
AI
62
host level——
x402-gateway-production.up.railway.app
CodeRun API
https://x402-gateway-production.up.railway.app/api/code/run
Tools
72
host level——

Accolades