What is Wildcard?
Wildcard is an agent registry designed to simplify the integration of AI agents with APIs. It addresses the core challenge of enabling Large Language Models (LLMs) to reliably discover, select, and execute API actions across a vast landscape of endpoints. Instead of struggling with the complexities of individual API integrations, Wildcard provides a streamlined, model-agnostic solution.
Key Features:
🔎 Discover API Actions: Find the right API endpoints for your AI agent using natural language queries. Wildcard's search functionality allows your agent to quickly identify relevant actions from a vast library of agents.json specifications.
🗂️ Curate Custom Collections: Organize and manage your own sets of agents.json files. Start with Wildcard's pre-built collections and extend them with your private or specialized APIs.
🎯 Enhance Tool Selection Accuracy: Improve your AI agent's ability to choose the correct API endpoint. Wildcard provides optimized tool definitions, significantly boosting selection accuracy compared to native LLM capabilities (Wildcard: ~95% accuracy with 2000+ endpoints vs. GPT-4o: ~60% with 1 endpoint).
⚙️ Enable Model-Agnostic Execution: Utilize agents.json definitions tailored to your specific AI agent's model (OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, Meta Llama 3, etc.). Maintain control over tool calls and execute actions on your infrastructure.
✅ Access Verified APIs: Benefit from a growing library of "Official" agents.json files, verified by the API providers themselves, ensuring reliability and accuracy (e.g., Resend, Alpaca, Rootly).
⚡ Leverage agents.json: Discoverable and Optimized API Actions for your AI agents, based on the OpenAPI standard.
Use Cases:
Automated Customer Support Workflow: An AI agent uses Wildcard to find and execute actions across multiple APIs. First, it queries Wildcard for "get customer order history" (discovering a relevant endpoint from a hypothetical "Order Management" API). Then, it searches for "send email notification" (finding the Resend API in the registry). Finally, it combines these actions to automatically inform a customer about their order status.
Dynamic Financial Portfolio Management: A financial AI agent uses Wildcard to interact with the Alpaca Markets API. The agent queries Wildcard for "get real-time stock price" and "execute buy order." Based on the returned agents.json definitions, the agent can automatically rebalance a portfolio based on market fluctuations.
CRM Data Enrichment: An AI agent tasked with enriching CRM data uses Wildcard. It searches for "update contact information" and finds the Hubspot Contacts API. The agent then uses the provided agents.json definition to seamlessly update contact details within the CRM system, leveraging its own understanding of the required data fields.
Conclusion:
Wildcard significantly reduces the friction of integrating AI agents with APIs. By providing a searchable registry of optimized agents.json files and a model-agnostic execution framework, Wildcard empowers developers to build more powerful and versatile AI agents capable of interacting with a wide range of services. It is a pragmatic solution for making AI agents truly actionable.
More information on Wildcard
Launched
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Starting Price
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Wildcard was manually vetted by our editorial team and was first featured on September 4th 2025.
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