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An AI agent you build and run yourself might be a bot on your server that watches for new permits or answers your team’s questions in chat. It reads the official parcel, zoning, permit and ordinance records Ploti holds for your counties the same way any program does: through the CLI (Ploti’s command-line tool), the Python library or the REST API, with an API key. Keys and setup sets each one up. Using a ready-made assistant such as Muse instead? See Always-on assistants.
1

Make a key

A workspace admin makes a key under Settings, then API keys in Ploti. Store it as a secret on the agent’s machine, as PLOTI_API_KEY.
2

Install the CLI and Ploti's skills

The skills are short instruction files that teach the agent Ploti’s commands.
3

Let it work

The agent runs commands such as ploti datasets search, ploti datasets rows and ploti datasets download, or calls the same operations from Python. Read the data explains each, and Show results on a map covers maps.
4

Hear about changes

Register a webhook so the agent hears when a request finishes or a watched dataset changes, so it doesn’t have to keep checking.

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Other ways in

An agent that can fetch a URL and keep a secret can also set itself up from https://api.ploti.ai/v1/setup.md, the same instructions the ready-made assistants follow. An agent that speaks MCP can connect to https://api.ploti.ai/api/mcp with the key as a bearer token, for results on a Ploti map.