What is Expanso and how does it work?

Expanso is a managed platform for deploying intelligent data pipelines at the edge. It processes data where it's generated - reducing bandwidth, latency, and costs. You deploy lightweight agents on your infrastructure, build pipelines using our visual builder or YAML, and control everything from a central SaaS platform.

Can I run AI/ML models directly in my data pipelines?

Yes! Expanso supports running ONNX, TensorFlow Lite, and other models as native pipeline steps. Execute low-latency inference on streaming data, enrich events with model outputs (like risk scores), and make decisions at the edge without cloud round-trips.

How many pre-built components are available?

Expanso provides 200+ pre-built components including inputs (Kafka, HTTP, files), processors (transformations, filtering, PII masking, aggregations), and outputs (S3, Snowflake, Datadog, Splunk). Browse the complete catalog in our Component Reference.

Do I need to write code to build pipelines?

No - use our drag-and-drop visual pipeline builder to create sophisticated pipelines without code. For advanced use cases, you can also write pipelines in YAML or use the Bloblang transformation language for complex data mappings.

How does Expanso help with data governance and compliance?

Expanso includes built-in governance features: automatic PII detection and masking, policy enforcement at the edge, RBAC, SSO integration, and comprehensive audit trails. Mask sensitive data before it ever leaves your network.

Get Fleet Statistics

GET /nodes/stats

Returns aggregate statistics and metrics across your edge node fleet.

What You Get

Total node count and breakdown by connection state
Aggregate resource usage (total/average CPU, memory, disk)
Node health distribution (healthy, degraded, unhealthy)
Fleet-wide capacity metrics

When to Use

Monitor overall fleet health at a glance
Capacity planning and resource forecasting
Dashboard metrics and alerting
Trend analysis over time

Filtering

connection_states: Include only nodes in specific states (connected, disconnected, etc.)

Use Cases

"How many nodes are currently connected?" - Check total_count with connection_states=connected
"What's my fleet's average resource utilization?" - Review aggregate CPU/memory/disk metrics
"Do I have capacity for new jobs?" - Compare used vs total resources

Get Fleet Statistics

/nodes/stats

What You Get

When to Use

Filtering

Use Cases

Request

Responses

Get Fleet Statistics

/nodes/stats

What You Get​

When to Use​

Filtering​

Use Cases​

Request​

Responses​

What You Get

When to Use

Filtering

Use Cases

Request

Responses