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Access real-world data APIs for AI agents with pay-per-call usage.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Proxygate" MCP server from askskill: Run: claude mcp add --transport http 'ai-proxygate-mcp' 'https://gateway.proxygate.ai/mcp'
Using Proxygate, find real-world data APIs suitable for an AI agent. Prioritize pay-per-call APIs with clear documentation for weather, exchange rate, and geolocation data, then summarize them in a comparison table.
A comparison table of usable APIs including purpose, pricing model, integration difficulty, and use cases.
I am building an AI app on Solana that automatically calls data APIs. Based on Proxygate, design a USDC pay-per-call workflow including API selection, request flow, cost control recommendations, and retry strategies.
A practical data access plan for an AI app covering payment, invocation, monitoring, and fault tolerance.
Use Proxygate to evaluate several real-world data API sourcing options. Focus on whether a pay-per-call model fits low-frequency AI workflows and provide recommendations.
An evaluation summary identifying which API options best fit low-frequency AI workflows.
Enable secure agent payments, API key vaulting, and governed spending limits.
Access pay-per-call MCP tools for telemetry, on-chain checks, and live data.
Access paid APIs for AI agents across finance, inference, and security.
Give AI agents live search, market, crypto, and social data access.
Enable AI agents to handle swaps, bridges, market data, and wallet actions.
Create verifiable delegation chains for AI agents with scoped multi-hop authorization