The inference engine
for autonomous systems.

Point your agents at one endpoint: frontier open weights running on ArcenAgent's own silicon, metered by the token and settled in USDG on pump.fun.

Under the hood

Tokens served

Inference calls

Models online

Uptime

The compute

One stack.
Zero markup.

We run the racks, the scheduler, and the rail. That means the posted token rate is the compute price. No gateway cut, no reseller cut, no per-call fee. The optimizations on the right are why we can afford to price it that way.

up to30%token savings
via the response cache
A

Continuous batching

Requests join a running batch mid-flight, so the GPUs never idle between calls, more tokens per GPU-second, cheaper tokens for everyone.

B

Prefix caching

Agents resend the same system prompt thousands of times a day. The cluster computes it once and reuses it, repeats become nearly free.

C

Quantized + speculative

Open weights served FP8-class with a draft model speculating ahead. Same output, materially more tokens per second per card.

D

Response cache

Identical repeat calls, retries, evals, loops, come back in ~10ms at half-price tokens. A posted billing rule, not a trick.

Fresh off the racks

The latest weights deployed to the cluster, every one priced at compute.

The token

Hold $ARCA.
The cluster pays you.

Every call the network serves earns revenue on-chain. Half of it is split across $ARCA holders every month, pro-rata to the supply you hold.

50%

of every call’s revenue fills the holder pool

Monthly

pro-rata payouts, straight to holding wallets

0

staking, lockups, or claim races

CAcoming soon on pump.fun

Drop-in

Your SDK already
speaks ArcenAgent.

1

One email, one wallet

Sign in and a non-custodial wallet spins up in the background, no seed-phrase ceremony.

2

Load USDG, mint a key

Top up once and mint your ar_sk_ key. It's shown a single time, after that, it's yours to guard.

3

Swap one URL

Keep the OpenAI client you already ship. Point base_url at ArcenAgent and every call meters and settles itself.

python · drop-in OpenAI client
from openai import OpenAI

client = OpenAI(
    base_url="https://api.arcenagent.com/v1",
    api_key="ar_sk_live_…",
)

resp = client.chat.completions.create(
    model="glm-5.2",
    messages=[{"role": "user", "content": "Hello"}],
)
# metered + settled on-chain automatically

Your agents are ready. Give them an engine.

Billing is exact: tokens used × posted rate, settled in USDG on pump.fun, no per-call fees, no gas, nothing recurring, nothing hidden. High-tier models always run pay-as-you-go.