nodedata — Python SDK

Official Python client for the Node Data API: search and download robotics/physical-AI models and datasets, publish your own, read your payouts, subscribe to webhooks, and run Node Data's paid inference.

Zero runtime dependencies. Standard library only, so it installs onto a Jetson next to whatever pinned torch/numpy stack is already there.

pip install nodedata          # once published to PyPI
pip install -e .              # from this directory today

Requires Python 3.9+.

Quick start

Create a key at /dashboard/api-keys (nd_test_… or nd_live_…) and export it:

export NODE_DATA_API_KEY=nd_live_...

from nodedata import NodeData

nd = NodeData()                        # reads NODE_DATA_API_KEY

me = nd.me()
print(me.name, me.key.mode, me.key.scopes)

# Search the marketplace
for listing in nd.models.iter_all(q="grasp", type="dataset", max_items=50):
    print(listing.slug, listing.price.dollars, listing.url)

# Download something you own or that's free
path = nd.models.download("acme-panda-grasp-100k", "./cache")

# Publish a build artifact — uploads the file, then creates the listing
listing = nd.models.publish(
    "dist/grasp-policy-v2.onnx",
    title="Grasp policy v2",
    description="Trained on 100k teleop episodes.",
    type="policy",
    price_cents=4900,                  # 0 for free; paid minimum is 100
    frameworks=["pytorch"],
)
print(listing.url)

What's covered

nd.datasets is an alias of nd.models — one endpoint serves both.

Every returned object keeps the raw response in .raw, so a field the API adds after this release is still readable without upgrading.

Pagination

list() returns one Page; iter_all() walks every page lazily.

page = nd.models.list(limit=100)
print(len(page), page.has_more, page.next_cursor)

for listing in nd.models.iter_all(type="dataset"):   # follows cursors
    ...

Inference

Requires a premium key with the inference:run scope. The endpoint is OpenAI-compatible, so openai pointed at https://www.nodedata.ai/api/v1 works too — these helpers just avoid the dependency.

for model in nd.inference.models():
    print(model.id, model.context_window, model.pricing.input_per_1m)

print(nd.inference.ask("Summarise this dataset card.", model="node-reason-1"))

for text in nd.inference.stream_text(
    model="node-reason-1",
    messages=[{"role": "user", "content": "Explain grasp policies"}],
):
    print(text, end="", flush=True)

The final streamed chunk carries usage and no text — that's the frame to log spend against.

Webhooks

Verify with the raw request body. Re-serialising parsed JSON changes bytes, and the signature won't match.

from nodedata import verify_webhook, WebhookVerificationError

endpoint = nd.webhooks.create(
    "https://example.com/hooks/nodedata",
    events=["listing.purchased", "payout.paid"],
)
print(endpoint.secret)   # returned on create only — store it now

# in your handler
try:
    event = verify_webhook(request.body, request.headers["nd-signature"], SECRET)
except WebhookVerificationError:
    return 400

verify_webhook enforces HMAC-SHA256 with a constant-time compare and a 300s replay window, matching the server.

Errors

Everything raises a subclass of NodeDataError:

Branch on exc.code (purchase_required, scope_required, price_too_low, …) rather than the message text.

from nodedata import PaymentRequiredError

try:
    nd.models.download("some-paid-asset", "./cache")
except PaymentRequiredError as exc:
    if exc.code == "purchase_required":
        print(f"costs ${exc.body['price_cents'] / 100:.2f}")

Retries

Rate limits and transient failures are retried twice by default with jittered backoff, honouring Retry-After. POST is only retried on a 429 — the server rejected it before doing any work — so a publish can never double-apply.

nd = NodeData(timeout=30, max_retries=5)

CLI

Installing the package also installs a nodedata command:

nodedata whoami
nodedata search grasp --type dataset
nodedata download acme-panda-grasp-100k -o ./cache
nodedata publish dist/policy.onnx --title "Grasp policy" --description "..." --type policy
nodedata payouts
nodedata usage --days 7
nodedata ask "Explain grasp policies" --model node-reason-1

Configuration

Certificates

Because this SDK uses urllib rather than bundling certifi, TLS trust comes from the system store. Some Python builds — notably the macOS python.org installers — ship an empty one, which fails every HTTPS request with CERTIFICATE_VERIFY_FAILED. Three fixes, in order of ease:

pip install certifi                              # used automatically if present
open "/Applications/Python 3.x/Install Certificates.command"

import ssl
nd = NodeData(ssl_context=ssl.create_default_context(cafile="/path/to/ca.pem"))

The SDK detects this specific failure and says so, rather than reporting it as an API outage.

Tests

python3 -m venv .venv && .venv/bin/pip install -e ".[dev]"
.venv/bin/python -m pytest                      # hermetic; runs a local HTTP server
NODE_DATA_LIVE_KEY=nd_live_... .venv/bin/python -m pytest tests/test_live.py -v

The suite talks to a real socket rather than a patched transport, so retries, SSE framing and streamed downloads are exercised as they run in production. The live suite is read-only.

Versioning

Minor releases may add response fields. Pin in CI and bump deliberately.

MIT © Node, Inc.