FlexAI
FlexAI is managed inference for builders — an OpenAI-compatible API (Token Factory) that provides a single API key across open models for text, code, reasoning, vision, embeddings, image, video, and audio, priced by usage per model. Beyond serverless inference the platform offers dedicated GPU endpoints, managed LoRA/QLoRA fine-tuning, distributed training, an Agent SDK (in trial), and a private AI cloud (AI Factory) deployable to VPC, on-prem, or air-gapped environments. Because the inference API is a drop-in OpenAI replacement, teams point the OpenAI SDK at the FlexAI base URL and change only the key. FlexAI is backed by Partech and profiled in the API Evangelist network for its developer surface and agent-native infrastructure.
FlexAI publishes 7 APIs on the APIs.io network, including Audio API, Chat API, Completions API, and 4 more. Tagged areas include Company, Ai/Ml, Artificial Intelligence, Machine Learning, and Inference.
FlexAI’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, support, and 21 more developer resources.
Kin Score
APIs 7
Individual APIs this provider publishes, each with its own machine-readable definition.
FlexAI Audio API
Speech-to-text and text-to-speech
FlexAI Chat API
Chat completions
FlexAI Completions API
Legacy text completions
FlexAI Embeddings API
Vector embeddings
FlexAI Images API
Image generation
FlexAI Models API
Model catalog
FlexAI Video API
Video generation
Scroll for all 7
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
flexai-mcp.yml
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Flexai Plans
PLANSRate Limits 1
Documented rate limits and quota policies.
Flexai Rate Limits
RATE LIMITSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 3
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Access & Security 3
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type