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Start freeGPT-5 · Claude · DeepSeek V4 · Qwen3 — in ₹One OpenAI-compatible endpointBilled in rupeesGST invoiceNo international cardGet started →Start freeGPT-5 · Claude · DeepSeek V4 · Qwen3 — in ₹One OpenAI-compatible endpointBilled in rupeesGST invoiceNo international cardGet started →
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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 lands on a single, itemised ₹ invoice, so finance sees one number 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 India-first hosting for data residency and GST-compliant invoicing, that means:

What you needGeneric gateway₹-native, India-first gateway
Pricing you can trustQuoted in another currencyQuoted and charged in ₹
BillingA statement to reconcile line by lineOne itemised ₹ invoice
ComplianceOverseas entity, unclear residencyGST invoicing, India data residency
SupportDifferent timezoneLocal 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?

Yes. Inference is served from India-first infrastructure for data residency, and billing is GST-compliant, so both your data and your paperwork stay local.

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Start building in rupees

Call every major model through one OpenAI-compatible endpoint, billed in ₹ on a GST invoice.