What is an AI API gateway?
An AI API gateway puts one endpoint, one key and one ₹ bill in front of many AI models. Here is what it does, and why an India-first, ₹-native gateway matters.
An AI API gateway is a single service that sits between your application and the many large language models you might want to call. Instead of integrating each provider one by one — a different endpoint, a different key, a different bill for each — you talk to one gateway, and it routes every request to the right model behind the scenes.
Think of it the way a payment gateway sits in front of dozens of banks and cards: your code speaks one language, and the plumbing behind it is someone else's problem.
What an AI gateway actually does
A good gateway is much more than a proxy. It gives you a single control point for the things that are painful to build and maintain per-provider:
- One endpoint, one key — call every model through the same OpenAI-compatible API, so switching models is a one-line change, not a rewrite.
- Smart routing and fallback — send each request to the best available model, and fail over automatically when a provider is slow or down.
- Unified billing in ₹ — every model's usage is paid from one rupee wallet, with a GST tax invoice at each top-up, so finance deals with one supplier instead of many.
- Guardrails and moderation — apply safety, PII and prompt-injection checks in one place, consistently, for every model.
- Usage and cost visibility — per-key, per-model and per-workspace analytics, so you always know what you are spending and where.
Why ₹-native and India-first matters
Most gateways were built for a different market and quote prices in another currency. For an Indian team that creates real friction: the number on the model card is never the number on the invoice, budgets are hard to reason about, and reconciliation becomes a guessing game.
A ₹-native gateway shows the price as ₹, charges in ₹, and invoices in ₹ — the price you see is the price you pay. Combined with an Indian billing entity and GST-compliant invoicing, that means:
| What you need | Generic gateway | ₹-native, India-first gateway |
|---|---|---|
| Pricing you can trust | Quoted in another currency | Quoted and charged in ₹ |
| Billing | A statement to reconcile line by line | One itemised ₹ invoice |
| Compliance | Overseas entity, unclear residency | GST invoicing from an Indian entity |
| Support | Different timezone | Local team, local hours |
For a startup watching every rupee, that difference is not cosmetic — it is the difference between a predictable line item and a surprise at the end of the month.
Frequently asked questions
Do I have to rewrite my app to use a gateway?
No. A gateway exposes a standard, OpenAI-compatible API. In most cases you change the base URL and the API key, and your existing code keeps working — including popular agent and SDK tooling.
Can I use more than one model through a single key?
Yes. That is the whole point. One key reaches every model the gateway offers, and you pick the model per request by name. You can change models without touching credentials or billing.
How is pricing shown?
Entirely in ₹. The per-million-token price on each model, your usage, and your invoice are all in ₹ — the price you see is the price you pay, with nothing to reconcile afterwards.
Is my data kept in India?
Partly. Your account, billing and GST invoices are handled in India. Inference for models from external providers (GPT, Claude and others) runs on that provider's infrastructure outside India; unoblox's self-hosted models run in India.
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Start building in rupees
Call every major model through one OpenAI-compatible endpoint, billed in ₹ on a GST invoice.