TokenDateModel Hub

TokenDate

One AI gateway for the work your teams already do.

TokenDate is an enterprise AI gateway for teams that need one governed way to use multiple AI models. It keeps AI API access useful for builders and visible to the people responsible for access and spend.

Published by TokenDate · Published August 10, 2026 · Updated August 10, 2026

A unified AI API for multiple models

Use one familiar API integration to reach the models your organization authorizes. Teams can change the model parameter instead of rebuilding an integration for every provider.

AI API management with practical controls

Set model access by team or member, issue and manage API keys, and apply quotas before unapproved or over-limit requests reach a provider.

AI usage and cost management you can trace

Request logs record the caller, model, status, and token usage. That gives engineering, finance, and security teams a shared record for operations and review.

Why does TokenDate exist?

Teams should be able to use capable AI models without leaving access, spend, and operational ownership unclear. TokenDate brings those responsibilities into one working system.

Who is TokenDate built for?

It is built for engineering, product, operations, finance, and security teams that need to adopt AI together while retaining clear responsibilities.

What is TokenDate’s approach to AI adoption?

We focus on practical workflows: make approved access straightforward for users, give administrators useful controls, and preserve the records teams need to review decisions.

Does TokenDate require a team to choose only one model provider?

No. Teams can work with the models their organization approves while maintaining one consistent access and operational layer.

About TokenDate · Contact TokenDate

What is TokenDate?

TokenDate is enterprise software for giving teams governed access to authorized AI models through familiar APIs. It centralizes model permissions, API keys, quotas, routing, request records, and usage visibility.

How does TokenDate control AI model access?

Administrators authorize models for teams and members, issue API keys, set quotas, and review request records. The gateway evaluates those controls before a request is sent to an enabled provider.

Which API references explain compatible integrations?

Read the TokenDate API reference for TokenDate integration details. Provider request formats are documented in the official references below. TokenDate API: OpenAI API reference, Anthropic Messages API, Google Gemini API.

How can I contact TokenDate?

For account, quota, billing, or integration help, contact TokenDate. Review the Privacy Policy and Terms of Service for service and data-handling information. Support. Privacy Policy · Terms of Service

Primary sources

“The OpenAI API uses API keys for authentication.”

Source: OpenAI API Reference

“The Anthropic API is a RESTful API.”

Source: Anthropic API documentation

For Google Gemini request formats, consult the official Google Gemini API reference.

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