# Apertis AI

> AI control plane for coding agents and AI apps: OpenAI-compatible routing, budgets, model policy, prompt cache, and failover.

## Key Facts

- Product: Apertis AI
- Company: STIMA AI LLC
- Primary audience: engineering teams using coding agents and AI applications
- Core capabilities: virtual keys, budgets, model policy, routing health, prompt cache, and failover
- API format: OpenAI-compatible; Anthropic Messages endpoint also supported
- Coverage: 500+ models from 30+ providers, including OpenAI, Anthropic, Google, DeepSeek, xAI, and China-region providers
- Primary use cases: governed coding-agent rollout, multi-provider model routing, usage control, and API cost management

## Core Pages

- [Homepage](https://apertis.ai/): Apertis positioning, control-plane overview, supported providers, and team pilot CTA.
- [Homepage Markdown](https://apertis.ai/homepage.md): Machine-readable mirror of the canonical homepage positioning, product facts, FAQ, and primary links.
- [Models](https://apertis.ai/models): Searchable model catalog with pricing, context windows, providers, and feature metadata.
- [Verbatim](https://apertis.ai/verbatim): Source-grounded document intelligence for PDFs, scanned files, spreadsheets, and Office docs with exact evidence anchors.
- [Pricing](https://apertis.ai/subscribe): Coding Plan and pay-as-you-go options for individual developers and teams.
- [Enterprise Pilot](https://apertis.ai/enterprise/form): Contact form for Team Gateway pilots and managed rollout discussions.
- [Trust Center](https://apertis.ai/trust): Security controls, data handling, compliance posture, and subprocessor information.
- [Changelog](https://apertis.ai/changelog): Product updates, model additions, routing improvements, and platform release notes.

## API And Docs

- [API Documentation](https://docs.apertis.ai): Developer docs for OpenAI-compatible integration and supported endpoints.
- [OpenAPI Description](https://apertis.ai/docs/openapi.yaml): Machine-readable OpenAPI file for chat completions, models, embeddings, and related endpoints.
- [API Catalog](https://apertis.ai/.well-known/api-catalog): RFC 9727 discovery metadata for Apertis APIs and docs.
- [MCP Server Card](https://apertis.ai/.well-known/mcp/server-card.json): MCP server metadata for agent clients that connect to Apertis.
- [Agent Skills Index](https://apertis.ai/.well-known/agent-skills/index.json): Agent-facing discovery file for available Apertis integrations.

## Resources

- [Cost Calculator](https://apertis.ai/calculator): Compare projected AI API spend across providers and models.
- [Model Comparison](https://apertis.ai/models/compare): Compare model pricing, capabilities, context windows, and provider metadata side by side.
- [What Is an AI API Gateway](https://apertis.ai/research/what-is-ai-api-gateway): Explains the gateway pattern for routed AI model access.
- [Reduce AI API Costs](https://apertis.ai/research/reduce-ai-api-costs): Cost-control guide covering routing, caching, and model choice.
- [Setup Claude Code with Apertis](https://apertis.ai/research/setup-claude-code-with-apertis): Guide for using Apertis with coding-agent workflows.

## Contact

- Website: https://apertis.ai
- Email: hi@apertis.ai
- Status: https://status.apertis.ai
- GitHub: https://github.com/apertis-ai
- Extended file: https://apertis.ai/llms-full.txt