Production · v1 Last sync ·

One API.
Every frontier
model.

Naxios routes requests across production models behind a single, OpenAI-compatible endpoint. Drop-in SDK, real usage data, flat-margin pricing.

Endpoint/v1/chat/completions
CompatOpenAI SDK · stream · tools
Free tierno card required
Statusoperational
Live · production ledger
Models online01
Tokens · 24h02
Requests · 24h03
Developers04
§ 01 · Principles

Built for builders, not gatekeepers.

Everything you need to ship with AI. Nothing you don't. Six guarantees, zero marketing physics.

i.

Unified endpoint

One URL, one key. Swap between 96 models by changing a single string — no SDK churn, no vendor lock-in, no "enterprise tier" paywall between you and a model name.

ii.

Live token accounting

Real-time TPM / TPD / RPM per key. Your dashboard is the source of truth — not a CSV delivered 24 hours late with half the columns missing.

iii.

OpenAI-SDK compatible

Point base_url at Naxios and every existing client — Python, Node, Go, Rust — keeps working. Tool-calling, streaming, and JSON mode all round-trip untouched.

iv.

Automatic failover

If a provider blinks, in-flight requests reroute to the next healthy upstream within your deadline. You get a 200, not an on-call page.

v.

Your data, your rules

Prompts and completions are never used for training — by us or by anyone we can opt out of, by default. That's the policy, not an upsell.

vi.

Honest pricing

Provider cost plus a flat margin. No per-seat fees, no surprise invoices, no "contact sales" curtain between you and a number.

§ 02 · Quickstart

Running in under a minute.

Any OpenAI client, any language. Two lines change.

hello.py
from openai import OpenAI
import os
 
client = OpenAI(
    api_key=os.environ["NAXIOS_KEY"],
    base_url="https://naxios.tech/v1",
)
 
resp = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Summarize Naxios in one line."}],
)
 
print(resp.choices[0].message.content)
import OpenAI from "openai";
 
const client = new OpenAI({
  apiKey: process.env.NAXIOS_KEY,
  baseURL: "https://naxios.tech/v1",
});
 
const resp = await client.chat.completions.create({
  model: "claude-3-5-sonnet-latest",
  messages: [{ role: "user", content: "Hello from Node." }],
});
 
console.log(resp.choices[0].message.content);
curl https://naxios.tech/v1/chat/completions \
  -H "Authorization: Bearer $NAXIOS_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-4o","messages":[{"role":"user","content":"Ping"}]}'
§ 03 · Models

Every major lab, one surface.

OpenAI · Anthropic · Google · Meta · Mistral · xAI · DeepSeek · Qwen · Cohere · Amazon · and more.

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# Model Provider Type
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§ 04 · FAQ

Answers, straight.

Five honest questions. Five honest answers.

Yes. No credit card, no trial expiration, no bait-and-switch. You get daily token and request quotas that cover real exploration; you only pay when you outgrow them.
The official openai SDKs (Python, Node, Go) work unmodified — point base_url at https://naxios.tech/v1 and you're done. Tool calling, streaming, and JSON mode all round-trip.
Each model name resolves to a pool of upstream providers. We route to the lowest-latency healthy upstream; if it returns 5xx or rate-limits, we retry on the next one transparently within your request's deadline.
Never. Prompts and completions are opt-out-by-default from every upstream that permits it, and Naxios itself retains no training rights. We log only what's needed for billing and abuse review — purged on schedule.
Straight from the production database via GET /tpd/public — a read-only, no-PII aggregate endpoint cached 60 s. Hit refresh; the counters re-query. No marketing numbers.