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 has identical capabilities, route counts, concurrency, or availability. Confirm each model, endpoint, and price in the live catalog and account response. For specific concurrency, procurement, or integration requirements, define the target models, request volume, and workload before evaluation.

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

Public pricing follows the billing dimensions of each model, while account records explain model usage and charges without exposing internal supply costs.

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.

Boundaries to establish early

  • Model visibility depends on the API key group and the current catalog. Do not treat a list copied from another account as a fixed contract.
  • Context, tools, multimodal input, caching, and media parameters differ by model. Protocol compatibility does not replace model-level validation.
  • Public pages do not expose pools, accounts, channels, procurement costs, multipliers, or routing weights, and enterprise clients do not need those internal facts to call the API.
  • This page does not claim an unconfirmed SLA, dedicated concurrency, customer count, savings percentage, or performance result. Specific requirements must be evaluated against the real workload.

Continue the integration review

Anthropic Messages integrationGemini GenerateContent integrationHow model verification works

Content reviewed on 2026-08-04. Models, pricing, and endpoints are live facts; always check the current catalog before use.