Quickstart

Get started

1. Get Your API Key

1. Go to dashboard.xase.ai
2. Create an account (free tier available)
3. Navigate to Settings → API Keys
4. Click Create API Key
5. Copy the key (starts with xase_pk_...)

Installation

2. Install SDK

pip install xase

Request access to data

3. Request Governed Access

Create an access session with specified purpose and duration:

import xase

client = xase.Client(api_key="xase_pk_...")

# Request access to data
session = client.access(
    dataset="medical-records-2025",
    purpose="model-training",
    model_id="diagnostic-model-v2",
    duration="30d"
)

print(f"Access granted! Session ID: {session.id}")

Policy evaluation happens automatically. If approved, a session is created. If rejected, an error with the specific policy violation is returned.

Use the data

4. Stream Data

Access and process data through the session interface:

# Stream data in batches
for batch in session.stream(batch_size=32):
    # Train your model
    model.train_on_batch(batch)
    
    # All operations automatically tracked

Generate evidence

5. Get Evidence Bundle

Generate cryptographic proof of compliant data use:

# Get evidence bundle for session
bundle = session.get_evidence()

# Download the bundle
bundle.download("./evidence_bundle.zip")

Verify evidence

6. Verify the Bundle (Offline)

Verify the evidence bundle without depending on Xase infrastructure:

unzip evidence_bundle.zip
./verify.sh

# ✓ Signature valid
# ✓ Hash chain intact
# ✓ Timestamps consistent
# RESULT: Evidence is authentic