> For the complete documentation index, see [llms.txt](https://wiki.orbofi.com/learn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wiki.orbofi.com/learn/aac-metadata-api/api.md).

# Overview

The AAC Metadata API resolves any Orbofi agent token into its metadata card — name, description, image, socials, and the agent's canonical page. One HTTP call, no auth, no API key, no scraping.

It exists for anyone rendering Orbofi tokens outside our app: wallets, terminals, screeners, trading bots, portfolio trackers.

### Quick start

```bash
curl https://api.orbofi.com/v1/tokens/{tokenAddress}
```

That's the whole integration. The response is the agent's card as JSON.

### In this section

* [Get a token card](/learn/aac-metadata-api/get-a-token-card.md) — the endpoint, response fields, and caching semantics.
* [How cards publish](/learn/aac-metadata-api/how-cards-publish.md) — where the data comes from and why it can't be spoofed.

{% hint style="info" %}
Cards are served for tokens on **Robinhood Chain (chain id `4663`)**. To discover the tokens themselves, index the `AgentCoinLaunched` event — see [Index Agent Launches](/learn/tokenization-liquidity-and-onchain-systems/integrations/index-agent-launches.md).
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://wiki.orbofi.com/learn/aac-metadata-api/api.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.