Teams and enterprise access

Enterprise AI API Access Through One Model and Usage Gateway

Infistar helps teams access multiple AI models through compatible APIs, a live public model catalog, current pricing, and account usage records. Teams can validate the model and protocol first, then decide what belongs in production.

Enterprise access does not imply that every model supports the same features. Choose the models your application needs, then check their endpoints, prices, and request limits. For team use or integration with an existing system, share your target models, expected request volume, and workload with support.

View models and pricingRead the OpenAI guide

What a team can standardize first

Model catalog

Choose exact model IDs from one public catalog and browse the current range by task or model family.

Compatible protocols

OpenAI, Anthropic Messages, and Gemini GenerateContent clients can keep their corresponding request format instead of forcing every application onto one protocol.

Pricing and usage

View each model’s price and billing unit in Models and Pricing. Your account records show usage and charges for each request.

Integration validation

Validate exact IDs, standard and streaming responses, errors, timeouts, and required parameters with low-cost requests before production rollout.

Recommended enterprise integration sequence

  1. List the actual workloads, target models, protocols, concurrency, and response-time needs instead of assuming that models are interchangeable.
  2. Review the live catalog for current model IDs, endpoint declarations, and billing units, then record the exact IDs selected for evaluation.
  3. Create a server-side API key and keep it in environment variables or a secrets system. Never place a complete key in browser code, public repositories, or ticket text.
  4. Run low-cost tests for standard responses, streaming, business errors, timeouts, and retries. Image and video workloads must also verify asynchronous terminal states and actual outputs.
  5. Increase traffic only after validation, and retain account logs and request IDs to investigate model, pricing, or service changes.

Before you integrate

  • Available models may differ between accounts. Sign in to your own account to check access.
  • Context, tools, multimodal input, caching, and media parameters differ by model. Protocol compatibility does not replace model-level validation.
  • Contact support before integration if you need specific concurrent request limits or service guarantees.

Related integration guides

Anthropic Messages integrationGemini GenerateContent integrationHow model verification works

Models and prices may change. Check Models and Pricing before use.