Segment API

Name: Segment API API
Brand: Segment API
Availability: InStock

★ Only Publicly Available OpenAPI DocumentAnalyticsData Pipelinesbearer14 EndpointsREST

For Agents

Configure data collection sources, manage event routing destinations, enforce tracking plans, and audit customer data pipeline changes programmatically.

Quickstart

Get started with Segment API in minutes using your preferred integration method.

# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
  "jentic": {
    "url": "https://api.jentic.com/mcp",
    "auth": "oauth"
  }
}

# Then ask your agent:
"configure customer data pipeline sources and destinations"

# → Jentic returns the GET /events tool with parameter schema, agent executes.

Capabilities

What an agent can do with Segment API API.

Provision and configure event collection sources for web, mobile, and server-side applications

Connect and manage destinations that receive routed event data from sources

Define tracking plans that validate event schemas before data reaches destinations

Query warehouse sync configurations for data lake and analytics database connections

GET STARTED

Start building with Segment API API

Explore with Jentic

View OpenAPI Document

Jentic publishes the only available OpenAPI document for Segment API, keeping it validated and agent-ready.

Jentic publishes the only available OpenAPI specification for Segment API, keeping it validated and agent-ready. Configure and manage the customer data infrastructure that collects events from sources, routes them to destinations, and enforces data quality through tracking plans. The API provides programmatic control over sources, destinations, warehouses, tracking plans, functions, spaces, users, and audit logs — enabling teams to treat their data pipeline as code.

Use Cases

Patterns agents use Segment API API for, with concrete tasks.

★ AI Agent Data Pipeline Management

AI agents configure and monitor Segment's customer data infrastructure programmatically — creating sources, connecting destinations, and deploying tracking plans without manual UI interaction. Through Jentic, an agent discovers the needed pipeline operation by intent, receives the schema, and executes configuration changes directly. This enables infrastructure-as-code patterns for data pipelines managed by automated systems.

Create a new JavaScript source via POST /sources, then connect a BigQuery destination via POST /destinations with the source ID

Source and Destination Configuration

Programmatically create, list, and inspect event collection sources and their connected destinations. Sources represent data origins (websites, mobile apps, servers), while destinations are the tools that receive routed events (analytics platforms, warehouses, marketing tools). The API enables teams to manage hundreds of source-destination connections at scale without manual UI configuration.

GET all sources from /sources, then for the first source retrieve its connected destinations via GET /destinations

Tracking Plan Governance

Enforce data quality by defining tracking plans that specify which events and properties are expected from each source. The tracking plans endpoint lets teams create plans, attach them to sources, and ensure that only validated events flow downstream. Invalid events can be blocked or flagged, preventing data quality issues from propagating to warehouses and analytics tools.

List all tracking plans via GET /tracking-plans, then create a new tracking plan via POST /tracking-plans with rules for 'page_viewed' and 'order_completed' events

Data Pipeline Audit and Compliance

Query the audit events endpoint to track who made changes to pipeline configuration, when changes occurred, and what was modified. This supports compliance requirements, debugging pipeline issues by correlating config changes with data anomalies, and maintaining a full audit trail of workspace activity across all team members.

GET audit events from /audit-events for the last 7 days and return all configuration changes made to sources and destinations

Key Endpoints

14 endpoints — jentic publishes the only available openapi specification for segment api, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

GET

/sources

List all configured event collection sources

POST

/sources

Create a new data collection source

GET

/destinations

List all configured event routing destinations

POST

/destinations

Connect a new destination to receive events

GET

/tracking-plans

List tracking plans for schema governance

POST

/tracking-plans

Create a new tracking plan with event rules

GET

/warehouses

List warehouse sync configurations

GET

/audit-events

Retrieve pipeline configuration audit logs

GET

/sources

List all configured event collection sources

POST

/sources

Create a new data collection source

GET

/destinations

List all configured event routing destinations

POST

/destinations

Connect a new destination to receive events

GET

/tracking-plans

List tracking plans for schema governance

Why though Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Segment Bearer tokens are stored encrypted in the Jentic vault (MAXsystem). Agents receive scoped access tokens — raw workspace tokens never enter the agent's context.

Intent-based discovery

Agents search by intent (e.g., 'create a new event source') and Jentic returns matching Segment operations with their input schemas, so the agent can configure data pipelines without browsing docs.

Time to first call

Direct Segment API integration: 1-2 days for token setup, endpoint discovery, and pipeline configuration. Through Jentic: under 1 hour — search, load schema, execute.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Complementary

Mixpanel API

Mixpanel receives events routed by Segment and provides product analytics querying capabilities

Use Mixpanel as a destination when you need to query funnels, retention, and segmentation on events collected through Segment

Complementary

Amplitude API

Amplitude is a common Segment destination for behavioral analytics and revenue reporting

Use Amplitude as a destination when you need behavioral cohorts, revenue metrics, and user activity timelines from Segment-collected events

Complementary

Snowflake API

Snowflake is a warehouse destination that stores raw events routed from Segment for SQL analysis

Use Snowflake as a destination when you need a data warehouse for custom SQL queries and ML feature pipelines on Segment event data

Alternative

PostHog API

PostHog offers built-in event collection alongside analytics, eliminating the need for a separate CDP layer

Choose PostHog when the project wants product analytics with built-in data collection and feature flags without a separate CDP

FAQs

Specific to using Segment API API through Jentic.

Why is there no official OpenAPI spec for Segment API?

Segment does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Segment API via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.

What authentication does the Segment API use?

The Segment API uses Bearer token authentication. You generate a Personal Access Token or workspace token from the Segment app and include it in the Authorization header as 'Bearer {token}'. Through Jentic, your token is stored encrypted in the credential vault and agents receive scoped access without the raw token entering their context.

Can I create sources and destinations programmatically with the Segment API?

Yes. POST /sources creates a new event collection source (web, mobile, or server). POST /destinations connects a new tool to receive events from a source. Both endpoints accept configuration objects specifying the source/destination type and settings.

What are the rate limits for the Segment API?

The Segment Config API allows up to 100 requests per second per workspace on business plans. Each endpoint returns rate limit headers (X-RateLimit-Limit, X-RateLimit-Remaining) so you can implement backoff logic. Read operations have higher limits than write operations.

How do I enforce data quality with tracking plans through Jentic?

Search Jentic for 'enforce event schema validation' to discover the /tracking-plans operations. Create a tracking plan via POST /tracking-plans with event rules that specify required properties and types, then attach it to a source. Events that violate the plan can be blocked or flagged. Install with pip install jentic.

Can I query audit logs for pipeline configuration changes?

Yes. The GET /audit-events endpoint returns a chronological log of all workspace changes including source creation, destination modification, user permission changes, and tracking plan updates. Filter by date range and event type to find specific changes.

How do I deploy custom event transformation functions?

POST /functions creates a custom function that executes JavaScript code on events as they flow through the pipeline. Functions can filter PII, transform event shapes, or conditionally route events. GET /functions lists all deployed functions with their configuration and status.