Load Magic Eden data to DuckDB

Magic Eden provides a multi-chain NFT marketplace API for collections, tokens, wallets, and transaction instruction generation. Everything needed to build a working Magic Eden → DuckDB pipeline is on this page: the API's base URL, authentication, endpoints, pagination and incremental field — plus a prompt that hands the whole job to your coding agent.

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Build your Magic Eden to DuckDB pipeline

Paste this prompt into Claude, Codex, or Cursor. The agent does the rest.

PromptCopy prompt
Run uvx dlthub-init@latest to build a pipeline from Magic Eden to DuckDB and run it on dltHub

That scaffolds a dltHub workspace and installs the dltHub AI harness — the project rules, the secrets-management skill, and the dlt MCP server your agent needs to work safely. From there it reads the Magic Eden API, proposes the endpoints to load, then writes, runs and validates the pipeline while you review rather than type. Credentials are inspected through MCP tools, so your agent never reads secrets.toml itself. How the LLM-native workflow works →

Prefer to write it yourself? Every fact the agent uses is below.

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Magic Eden API at a glance

These values come from the Magic Eden API reference — the authoritative source if anything here looks out of date.

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How do I authenticate with the Magic Eden API?

Authenticated requests require an Authorization header with the format 'Bearer <api_key>'.

1. Get your credentials

Magic Eden does not provide a self-service dashboard for generating API keys. To obtain an API key, you must submit an application form based on your region: 1. For US-based users, complete the US API key application form: https://airtable.com/appe8frCT8yj415Us/pagDL0gFwzsrLUxIB/form 2. For non-US users, complete the non-US API key application form: https://airtable.com/appe8frCT8yj415Us/pagqgEFcpBlbm2DAF/form After submitting the relevant form, Magic Eden will review your request, and upon approval, they will provide your API credentials.

2. Add them to .dlt/secrets.toml

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[sources.magic_eden_source]
magic_eden_api_key = "your_api_key_here"

dlt reads this file automatically at runtime. With the harness, the setup-secrets skill prompts you for the values and never handles the raw credential in chat. For production, see setting up credentials with dlt.

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What Magic Eden data can I load into DuckDB?

These are the Magic Eden endpoints dlt can load into DuckDB:

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How do I load only new Magic Eden records?

Magic Eden exposes offset on collections/{symbol}/listings, so dlt can request only the records that changed since the last run. Set it as the cursor_path and dlt tracks the high-water mark for you between runs.

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{"name": "collection_listings", "endpoint": {
    "path": "collections/{symbol}/listings",
    "incremental": {"cursor_path": "offset", "initial_value": "2024-01-01T00:00:00Z"},
}}

On the first run dlt loads everything from initial_value; on every run after that it requests only what changed and appends with write_disposition="merge" if you set a primary key. See incremental loading.

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What does the generated Magic Eden pipeline look like?

A standard dlt REST API pipeline — the same code you would write by hand, loading /instructions/buy and /instructions/buy_now from the Magic Eden API into DuckDB:

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import dlt
from dlt.sources.rest_api import RESTAPIConfig, rest_api_resources

@dlt.source
def magic_eden_source(api_key=dlt.secrets.value):
    config: RESTAPIConfig = {
        "client": {
            "base_url": "https://api-mainnet.magiceden.dev/v2",
            "auth": {"type": "bearer", "token": api_key},
        },
        "resources": [
            {"name": "collection_listings", "endpoint": {"path": "collections/{symbol}/listings"}},
            {"name": "collections", "endpoint": {"path": "collections"}}
        ],
    }
    yield from rest_api_resources(config)


def load_magic_eden_to_duckdb() -> None:
    pipeline = dlt.pipeline(
        pipeline_name="magic_eden_pipeline",
        destination="duckdb",
        dataset_name="magic_eden_data",
    )
    load_info = pipeline.run(magic_eden_source())
    print(load_info)


if __name__ == "__main__":
    load_magic_eden_to_duckdb()

Run it with python magic_eden_pipeline.py. The agent iterates on this until it loads cleanly — you review and approve, rather than write it from scratch.

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How do I query Magic Eden data in DuckDB?

dlt creates one table per resource. Query the loaded data with Python or SQL — or ask your agent to, through the MCP server's execute_sql_query tool.

Python (pandas DataFrame):

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import dlt

data = dlt.pipeline("magic_eden_pipeline").dataset()
df = data.collection_listings.df()
print(df.head())

SQL:

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SELECT * FROM magic_eden_data.collection_listings LIMIT 10;

See querying your data with dataset and exploring it in marimo notebooks.

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How do I deploy the Magic Eden to DuckDB pipeline in production?

The pipeline runs locally, which is ideal for prototyping and one-off analysis. When you need it on a schedule, monitored on every load, and shared with your team, deploy the same dlt code on the dltHub platform — no infrastructure to maintain. The prompt above already ends with "run it on dltHub", so your agent can take it there directly.

• Deploy & schedule — run the pipeline as a managed job with automatic retries.
• Monitor — observable job queues, alerting, and load metrics for every run.
• Transform — promote raw Magic Eden loads into governed, documented models.
• Visualize & share — explore data in notebooks and publish live dashboards instead of static screenshots.

Book a demo →

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What other destinations can I load Magic Eden data to?

dlt loads into any of these — only the destination argument changes:

Set dlt.pipeline(destination="snowflake") and add credentials in .dlt/secrets.toml. On the dltHub platform the same pipeline runs against a managed Iceberg lakehouse. See the full destinations list.

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Next steps

• Ready for production? Book a demo of the dltHub platform →
• dlt LLM-native workflow docs
• REST API source reference
• Join the dlt community on Slack