$ loading_
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.
Access pay-per-call MCP tools for telemetry, on-chain checks, and live data.
Enable AI agents to handle swaps, bridges, market data, and wallet actions.
Create verifiable delegation chains for AI agents with scoped multi-hop authorization
Pay-per-call gateway for AI agents to enrich, read web, and scan repos.
Get pay-per-call DeFi and macro market intelligence for AI agents.
Access attested USDC data feeds for AI agents with pay-per-call pricing.