$500 Credits free every 90 days

The Unified Interface For LLMs

Better prices, better uptime, no subscriptions. Stop juggling multiple API keys and SDKs. Nicrron provides a blazing-fast gateway to OpenAI, Anthropic, Meta, and more.

55
Models
6
Providers
Zero
Data Retention
One
Unified API
app.ts
1import OpenAI from 'openai';
2
3const client = new OpenAI({
4 apiKey: process.env.NICRRON_API_KEY,
5 baseURL: 'https://api.nicrron.ai/v1',
6});
7
8const response = await client.chat.completions.create({
9 model: 'anthropic/claude-sonnet-5', // Or 'deepseek/deepseek-v4-pro'
10 messages: [{ role: 'user', content: 'Hello from Nicrron!' }],
11});

Instant Inference.
At the Edge.

By utilizing aggressive Semantic Caching across our globally distributed edge network, Nicrron serves repeated or semantically similar queries in milliseconds.

12ms
Cached Latency
90%
Cost Savings
Standard API Request~800ms
Nicrron Semantic Cache Hit12ms

Never experience downtime again.

Our intelligent routing engine monitors provider health in real-time. If OpenAI hits a rate limit or goes down, your request seamlessly fails over to Anthropic or Meta instantly.

Rate Limited
OpenAI
gpt-4o
Automatic Failover
Healthy
Anthropic
claude-3-5-sonnet

Integrate your way

Depending on how much control you want, you can integrate with Nicrron using raw APIs, drop-in Client SDK replacements, or Agent SDKs for advanced orchestration.

1. Drop-in Client SDKs

No new SDKs to learn. If your app already uses the OpenAI SDK, you can switch to Nicrron by updating exactly two lines of code: your Base URL and your API Key. It's that simple.

  • Works with standard OpenAI libraries
  • No proprietary vendor lock-in
  • Support for Python, Node.js, Go, REST
import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.NICRRON_API_KEY,
  baseURL: 'https://api.nicrron.ai/v1',
});

const response = await client.chat.completions.create({
  model: 'anthropic/claude-sonnet-5',
  messages: [{ role: 'user', content: 'Hello!' }],
});

2. Build Agents effortlessly

Building an autonomous agent? Nicrron works seamlessly with LangChain, LlamaIndex, and AutoGen. Enjoy unified tool calling and function schemas across all models, so your agent can dynamically switch between OpenAI and Anthropic mid-task.

Langchain (Python)
from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
  base_url="https://api.nicrron.ai/v1",
  api_key="YOUR_NICRRON_KEY",
  model="anthropic/claude-sonnet-5"
)

agent = initialize_agent(tools, llm)
⚡ Real-Time Model Benchmark

3. Dual-Pane Model Arena

Benchmark 2 or 3 models simultaneously on identical prompts. Measure real-time Time-to-First-Token (TTFT), streaming tokens per second (TPS), latency, and dynamic cost differences side-by-side.

  • Blind Battle mode for unbiased LMSYS-style human evaluation
  • Instant cost comparison per token & % savings calculation
Explore Arena Benchmark Docs
⚔️ Claude 3.7 Sonnet vs DeepSeek R1Live Stream
CLAUDE 3.7 SONNET
88 tps • 142ms TTFT
$0.00034 / run
DEEPSEEK R1
64 tps • 210ms TTFT
82% Cheaper ($0.00006)
👥 Enterprise Workspaces

4. Teams, Shared Wallets & Alerts

Collaborate with multiple developers on a single universal credit wallet. Set automated HMAC-signed webhook alerts to Slack and Discord to prevent production overdrafts.

  • Role-Based Access Control: Owner, Admin, Developer, Viewer
  • Export audit logs to RFC 4180 CSV or structured JSON
View Teams & Alerts Guide
🔔 Webhook DispatcherHMAC Signed
POST /api/webhooks/alerts HTTP/1.1
X-Nicrron-Signature: sha256=9b4a1f...
X-Nicrron-Event: alert.low_balance

{
  "event": "alert.low_balance",
  "currentBalance": 4.50,
  "threshold": 10.00,
  "actionRequired": "Wallet recharge"
}

Frequently Asked Questions

Do you store or log my prompt contents or embedding vectors?

No. Nicrron enforces a strict Zero Data Retention (ZDR) architecture. Prompts, completions, and embedding vectors are streamed in-memory only and never persisted to disks or databases. We only record metadata (latency, status codes, token counts, and cryptographic request hashes) for auditability and settlement.

What is the Model Arena and how does blind benchmarking work?

The Model Arena allows developers to benchmark multiple models concurrently on identical prompts to evaluate Time-to-First-Token (TTFT), generation speed (TPS), and real-time cost differences. In Blind Battle mode, model identities are masked (Model Alpha vs Beta) for unbiased qualitative evaluation.

How do Organization Teams & Shared Wallets work?

Teams allow multiple engineers to route LLM queries against a shared universal credit pool. Organization owners can assign fine-grained RBAC roles (Owner, Admin, Developer, Viewer) and set alert thresholds.

How do Spend & Reliability Webhook Alerts work?

You can configure automated webhook triggers that dispatch cryptographically signed HMAC-SHA256 payloads to Slack, Discord, or internal incident management tools when credit balances drop low or daily spend velocities spike.

How does Smart Routing (nicrron/auto, reasoning, coding) work?

Nicrron dynamically analyzes prompt complexity, token volume, and live provider health. Use 'nicrron/reasoning' to route to DeepSeek V4 Pro and o3-mini, 'nicrron/coding' to route to Claude Opus 5 and Kimi K2.7 Code, or 'nicrron/auto' for general smart routing.

Do you support OpenAI-compatible Embeddings?

Yes. Use your standard OpenAI SDK or cURL pointing to /v1/embeddings to generate embeddings across OpenAI (text-embedding-3-small/large), Mistral (mistral-embed, codestral-embed), and Voyage (voyage-4 family) with automatic provider failover.

How do Prompt Caching discounts work?

Prompt caching discounts are passed through automatically. Cache reads with Anthropic receive a 90% discount, and OpenAI cache reads receive a 50% discount, recorded directly in your usage metrics.

Can I export my telemetry logs for accounting or analytics?

Yes. Telemetry logs can be filtered by date range, provider, status, and cost, and exported with one click to RFC 4180 CSV or structured JSON.