One request shape.
Every provider.
Model-name routing connects your app to the right upstream channel automatically.
Keyvera is an OpenAI-compatible AI API gateway for routing requests to OpenAI, Anthropic, xAI, DeepSeek, Kimi, Zhipu, and MiniMax through one endpoint and one prepaid balance.
/v1/chat/completions200{ "choices": [...], "usage": { ... } }The Keyvera AI API gateway consolidates model access, request routing, token metering, API-key controls, and billing behind an OpenAI-compatible API. Developers keep a familiar request shape while selecting the upstream AI model through the model ID.
Model-name routing connects your app to the right upstream channel automatically.
Configured routes are checked on a 60-second cadence.
Fixed at half the official API retail price.
base_url = "api.keyvera.cloud/v1"Keep your OpenAI client and production patterns.
Keep the client you already use. Replace the base URL. Keyvera handles routing, metering, and provider access behind one endpoint.
from openai import OpenAI
client = OpenAI(
api_key="sk-keyvera-...",
base_url="https://api.keyvera.cloud/v1"
)Published rates. No per-request surcharge. No account fee. One balance across every provider.
COMPARE PRICING ↗Rotate and revoke access without exposing upstream credentials.
Track token usage and spend across the complete model lineup.
Content passes through the gateway. It is not persisted by Keyvera.
Provider channels are checked continuously at 60-second intervals.
Keyvera is built for teams that want access to many AI models without turning provider management into a product tax. The gateway keeps the OpenAI-compatible request format familiar while centralizing routing, usage metering, account balance, and model selection.
Most production AI applications already depend on an OpenAI-style chat completions interface. Keyvera keeps that shape intact: configure the base URL, send a Keyvera API key, choose a model ID, and receive a familiar response payload with usage data.
This matters because teams can experiment with OpenAI, Anthropic, xAI, DeepSeek, Kimi, Zhipu, and MiniMax routes without rewriting the application every time a model changes.
Model-name routing lets the application select capability at request time. A coding assistant, support bot, extraction job, reasoning workflow, or background classification task can each use the model route that fits its cost, latency, and quality requirements.
The result is less provider-specific glue code and a clearer path from experimentation to production.
AI API cost control depends on knowing input, output, cached-read, and cached-write token prices before requests scale. The Keyvera Model Plaza publishes token rates in comparable units so teams can make practical routing decisions.
Instead of reconciling multiple provider invoices, teams can track model usage against one prepaid Keyvera balance.
Keyvera is a routing and billing layer, not a claim machine. It does not replace upstream provider policies, and it does not present unsupported enterprise compliance promises. The security page explains content handling, credential control, and provider-policy boundaries.
Helpful next pages are Models, Pricing, Integrations, and Security.
One endpoint. 50+ models. Seven providers.
Get your API key ↗