With Attribute Optimization, Wildcard helps your products show up correctly in AI-powered experiences. It examines how models read and rank your product attributes, flags what’s missing or misinterpreted, and helps you strengthen your data inputs. The result: more accurate

Wildcard helps you track rankings for every SKU, monitor high intent searches across buyer personas, and see exactly where each product ranks so you can optimize performance with clarity and speed.

Custom Collections Start with our collection of agents.json specifications, ready to use with your AI agents. Create custom collections by adding your own APIs and tools with agents.json.

Wildcard helps brands get their products featured in ChatGPT Shopping by tracking AI mentions, fixing product attributes, and improving visibility. Backed by Y Combinator, it provides insights like category rankings, top sources, and share of voice, giving companies a clear

Curious how simple it is to interact with the Wildcard API? All it takes is a short, natural-language prompt like the one shown in the image and Wildcard responds with a set of relevant actions tailored to your request. Each action comes pre-structured and ready to plug

If you need custom integrations, SSO, advanced security, or a guaranteed SLA, we’re built to meet your toughest requirements. Secure, scalable, and custom-fit

Wildcard holding strong at the #2 position, supported by consistent growth in mentions and share of voice. Ranking trends indicate steady upward movement throughout the week, with Beats outperforming other brands in visibility and engagement

This is what our roadmap looks like on paper. Nothing is time bound, we already have the major functionalities and our users have maximum support.

To create and run an agent using agents.json, first, install the required packages: agentsjson-core and openai. After loading the agents.json file with the provided URL, you’ll access the API flows defined within.

Wildcard AI automatically parses raw product attributes such as driver size, connectivity, ANC, battery life, and weight from products like Beats Studio3 Wireless, transforming unstructured information into accurate, structured data. This reliable output can be seamlessly

Wildcard drops in tool definitions catered to your agent's model. Own your tool calls. Execute actions on your own infrastructure.

Wildcard Bridge empowers LLMs to seamlessly load, parse, and execute agents.json files, streamlining the integration of AI agents into your workflow. By connecting your agent with an agents.json file, the relevant chains are automatically selected, and arguments are

Wildcard Bridge makes it easy for LLMs to load, interpret, and run agents.json files, removing friction from integrating AI agents into existing workflows. Once an agent is connected to an agents.json file, the system automatically determines the right chains to use and fills

Explore our API Tool section in the documentation to get everything you need to integrate faster and build smarter. The docs are packed with clear examples, detailed guides, and tips to help you move forward with confidence. Visit now github.com/wild-card-ai/a…