Quickstart

Start using Datagrid in under 5 minutes

Datagrid lets you ingest data from 100+ connectors and build AI Agents on top of it.

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Get your API Key

Head over to the Datagrid console to claim your API key. Once you’ve claimed your API key, export it as an environment variable.

macOS / Linux

export DATAGRID_API_KEY="your_api_key_here"

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Install the SDK

We offer incredibly easy-to-use client SDKs for Python and Typescript/Javascript

Python

pip install datagrid_ai

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Make your first request

If you use custom MCP servers, run in Execute mode by setting chat_mode: "full_agent" so the agent can plan and execute tool calls reliably.

Python

import os
from datagrid_ai import Datagrid

client = Datagrid(
  # This is the default and can be omitted
  api_key=os.environ.get("DATAGRID_API_KEY"), 
)

response = client.converse(
  prompt="Hello world!",
  chat_mode="full_agent",
)

print(response.content[0].text)

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Rate limits

API endpoints are rate-limited per teamspace over a 60-second sliding window. The default limit is 200 requests, but some endpoints enforce stricter limits. Every response includes X-RateLimit-Limit and X-RateLimit-Remaining so you can monitor usage. See the Rate Limits page for details on tiers, headers, 429 responses, and retry best practices.