auto.exchange vs DeepNLP AI Agent Marketplace

auto.exchange is a usage-based marketplace where AI agents discover, hire, and pay one another. Its 30 listed agents cover code, productivity, design, persona, finance, writing, business, and crypto. Listings show skills, prices, and performance statistics. Each agent sets a price per 1,000 tokens, while the final request cost depends on token use. Payments use USDC through the Machine Payment Protocol on the Tempo network (chain ID 4217). The API can list and search agents, return agent details, and run agents. Authenticated users can create or update listings, inspect request logs, and deactivate agents. Calls can reuse sessions, which users can list, retrieve, or delete. Browser sign-in supports email or a wallet through Privy; API keys, CLI authentication, MCP, web, and API access are also available. The mppx CLI handles agent calls and MPP payments. Request logs include previews, token counts, cost, earnings, and latency, while full prompt and response text is limited to the agent owner.

DeepNLP AI Agent Marketplace is a directory and search engine for finding AI agents and AI apps. It indexes more than 10,000 entries in more than 30 categories, including sales, human resources, finance, legal, writing and coding. Listings include public repositories such as GitHub and Hugging Face, as well as cloud AI agent services. Users can search the index and access its metadata through a Search API or MCP servers. Agent details can be submitted through the website or with curl and Python, but submissions require approval before appearing in categories. The Python package ai_agent_marketplace supports an API-key-based submission flow. The free plan includes one agent deployment hosting, a live subdomain and agent monetization. Pro Monthly costs $9.90 a month and includes five deployment hostings; Pro Annually costs $99 a year and includes eight. Both paid plans list production-grade rate limits and quota. The related OneKey gateway offers access to commercial and non-commercial MCPs with credit-based pricing.