A unified API for every model and tool.
One endpoint for chat, completions, embeddings, tool calls, and evals — with routing, caching, rate limits and observability included.
Active users
128,402
+12.4%
AI resolutions
41,908
+38.1%
Automations
9,214
+8.6%
Weekly activation
72,481 workflows
Support volume dropped 31% after enabling Atlas triage.
Estimated saving of 412 agent hours this month across 4 teams.
Overview
A single home for ai api.
AI API replaces a stack of point tools with one system that shares identity, data, and workflows with the rest of Flyps.
50%
fewer tools
4×
faster time to value
99.99%
uptime
SOC
2 · HIPAA
Capabilities
Everything you need to ship.
Model routing
Route to OpenAI, Anthropic, Google, or self-hosted per workspace.
Caching & rate limits
Semantic cache, TTLs and org-level quotas out of the box.
Streaming
SSE and websocket streaming with backpressure handling.
Why teams love AI API
Outcomes, not outputs.
- One integration for every model
- Predictable costs
- Full request/response logs
Active users
128,402
+12.4%
AI resolutions
41,908
+38.1%
Automations
9,214
+8.6%
Weekly activation
72,481 workflows
Support volume dropped 31% after enabling Atlas triage.
Estimated saving of 412 agent hours this month across 4 teams.
How it works
From setup to signal in minutes.
1
Connect
Point Flyps at your existing sources — warehouse, tickets, CRM.
2
Model
Auto-suggested schemas you can review, edit and version.
3
Automate
Compose typed workflows with human-in-the-loop checkpoints.
4
Measure
Track outcomes and ROI in built-in dashboards.
Use cases
Where teams use AI API.
In-product AI features
Copilots
RAG
Batch inference
Integrations
Plays well with your stack.
First-party connectors — plus 300+ more across the Flyps platform.
Recommended solutions
See AI API in your context.
FAQ