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Products

Integrations

Flexible delivery options designed to integrate cleanly into existing trading, research, and data platforms.

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How Snowtrail Integrates

Snowtrail is built to meet teams where they already work. Choose the delivery method that best fits your workflows.

API

RESTful endpoints for direct, low-latency access to signals, events, and features.

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Python SDK

Native Python library for analysts, quants, and researchers working in Python environments.

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S3 File Delivery

Scheduled file-based delivery for batch pipelines and data lake ingestion.

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Each integration option is designed to support reliable, scalable access while maintaining consistency across datasets.

API

RESTful integration

The Snowtrail API provides direct, authenticated access to signals, events, and features. It is designed for low-latency access, predictable schemas, and seamless integration into existing platforms.

Common use cases:

  • Feeding data into systematic models
  • Powering internal dashboards and monitoring tools
  • Supporting ad-hoc research and analysis
  • Integrating intelligence into execution or risk systems

The API follows clear versioning and authentication standards, with defined rate limits and update cadences. 

curl "https://api.snowtrail.ai/gbsi_us/system_stress?latest=true" \
  -H "x-api-key: sk_live_..."

{
  "product_id": "gbsi_us",
  "count": 1,
  "data": [
    {
      "week_ending": "2026-01-23",
      "stress_regime": "Balanced",
      "confidence_score": 0.78,
      "str_effective_at": "2026-01-23"
    }
  ]
}
from snowtrail import Snowtrail

client = Snowtrail(api_key="sk_live_...")

# Get latest GBSI-US system stress signal
df = client.gbsi_us.system_stress()
print(df.stress_regime.iloc[0])  # "Balanced"

# Get historical data as DataFrame
df = client.gbsi_us.system_stress(
    date_from="2024-01-01",
    date_to="2026-01-01"
)

# Ready for analysis
df.groupby("stress_regime").size()

Python SDK

Programmatic access

The Snowtrail Python SDK provides a higher-level interface to the API, designed for analysts, quants, and researchers working in Python-based environments. The SDK abstracts away request handling and response parsing, allowing teams to focus on analysis rather than integration details.

Common use cases:

  • Rapid prototyping and exploratory research
  • Signal development and backtesting
  • Notebook-based analysis
  • Integration into existing Python research stacks

The SDK is maintained alongside the API to ensure compatibility and consistency.

S3 File Delivery

Scheduled or event-driven

For teams that prefer file-based ingestion or operate batch-oriented data pipelines, Snowtrail supports delivery via secure S3 file shares. Data is delivered in structured, machine-readable formats on a defined schedule.

Common use cases:

  • Ingestion into internal data platforms
  • Large-scale historical analysis
  • Integration with batch ETL workflows
  • Offline or air-gapped environments

This approach provides a reliable alternative to API-based access where required. 

# Daily delivery structure
s3://snowtrail-delivery/your-org/
  signals/
    gbsi_us/
      2026-01-23.parquet
      2026-01-22.parquet
      ...
    pemi/
      2026-01-23.parquet
  events/
    2026-01-23.json
  features/
    weather_adjusted_demand/
      2026-01-23.parquet

# Formats: Parquet, CSV, JSON
# Schedules: Daily, Weekly, Event-driven

Designed for Enterprise Workflows

All Snowtrail integration options are designed with enterprise usage in mind.

Secure access

Authenticated, encrypted delivery across all channels

Clear data contracts

Documented schemas and predictable structures

Defined cadences

Clear update schedules you can rely on

Flexible delivery

Support for both on-demand and scheduled workflows

Teams can combine multiple integration methods as needed, using the same underlying data and definitions across delivery channels.

Get started with Snowtrail integrations

If you'd like to explore which integration approach best fits your environment, we'd be happy to walk through options and examples relevant to your use case.

Request Demo