Open market for AI inference
Buy inference at the market floor.
Sell your spare capacity.
One OpenAI-compatible endpoint. Every provider competes to serve each request and you pay the winning price. Want a specific one? Pin it. Got spare capacity? List it and earn. Sellers keep 95%.
The problem
One channel is
expensive and exposed.
Betting everything on a single inference provider means you overpay, you can't move, and one outage takes your product down with no way to reroute.
Inference you overpay for
List prices swing week to week and you have no leverage. Bound to one channel, you quietly overpay on every single token.
Vendor lock-in
One SDK, one bill, one rate limit. Switching channels means a rewrite, so you stay put even when a cheaper, faster route opens up.
Downtime with no second route
When your one channel degrades or rate-limits you, your product degrades with it. There is no other route to reroute to.
A fragmented ecosystem
Every provider ships a different API, pricing model, and latency profile. Comparing them is a spreadsheet, not a decision.
The solution
One current across every provider
Current sits between your code and the channels. One endpoint scores, routes, and reroutes on every request, so your inference takes the path of least resistance and your stack never changes.
Integrate once. Reach the whole market.
Point your existing OpenAI SDK at Current and every provider flows behind one key and one bill. No new client, no per-provider plumbing.
scored every request · routed to the winner
Smart routing
Every competing offer gets scored on five axes (price, latency, uptime, liquidity, and health). The highest score carries the request, and we hand you the full breakdown.
Automatic failover
If an offer errors or rate-limits, Current reroutes to the next best one before a single byte streams. The current always finds a way through.
Marketplace pricing
Providers compete to serve each model, so you pay the winning offer's price. That's the floor, no markup. Current keeps a flat 5% out of the provider's settlement, never added to your bill.
The routing engine
Every request is scored,
then carried.
No black box. Every competing offer earns one weighted score across cost, latency, uptime, liquidity, and health, and the current shows you exactly why it chose the one it did.
Scored against the network right now
The channels
Every channel the current can take
Each provider's offers are channels. For a request we score every active offer that can serve the model on price, latency, uptime, liquidity, and health. The request goes down the highest scorer, and the rest stay queued so the current reroutes the moment one fails.
OpenAI-compatible API
Change one line. Keep your code.
Point your existing OpenAI SDK at the Current. One base URL, one key, and every model becomes a channel the routing engine can reach.
from openai import OpenAI
client = OpenAI(
base_url="https://api.currentinference.com/v1",
api_key="cur_live_••••",
)
# Same SDK. The Current finds the best channel.
resp = client.chat.completions.create(
model="llama-3.3-70b",
messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)- /v1/chat/completions
- /v1/completions
- /v1/embeddings
- /v1/models
Pricing
You pay the marketplace floor price. No markup.
No subscriptions, no marked-up tokens. Providers compete to serve each request and you pay the winning offer's price. Current takes a flat 5% marketplace fee out of the provider's settlement. It's never added to your bill.
the winning offer’s price, per 1M tokens
Pay by card (Stripe)·USDC top-ups coming soon·Free cur_test_ sandbox keys
Roadmap
From one channel to the default routing layer
One current, flowing downstream. Each phase carries the network further toward the default routing layer for open-model inference.
- phase_01shipping
One channel
One OpenAI-compatible endpoint over every channel. It's backed by a live model catalog and routing you can actually see through.
- OpenAI-compatible API
- Model catalog
- 5-axis routing
- Console dashboard
- phase_02shipping
Routing that learns
The current adapts. Routing picks the highest score across price, latency, uptime, liquidity, and health. Failover reroutes around real offer health, and you get analytics on every request.
- 5-axis scoring
- Pre-stream failover
- Health scored 0 to 100
- Routing analytics
- phase_03shipping
The marketplace is open
Add channels of your own. Sellers self-onboard, list competing offers from their own endpoints, and earn settlement on every request they carry. They keep 95%.
- Seller onboarding
- Competing offers
- Two-sided settlement
- Seller payouts
- phase_04
The network layer
The default routing layer for open-model inference: on-chain seller payout rails, multi-region scale, and decentralized reputation for every offer.
- On-chain payouts
- Multi-region scale
- Decentralized reputation
Inference takes the path
of least resistance.
One channel. Lowest cost. A current that always finds its way through, across every provider, on every request.