What Is Fasten Share? How AI Model Sharing and API Access Work

Fasten Share is an AI model sharing and API access platform. It connects people who operate local models, private deployments, or compatible model APIs with consumers who want to discover and call online model nodes through a consistent interface.

It does not hand a producer’s upstream API key to another user, and a consumer does not connect directly to an unknown computer. The Fasten Share service sits in the request path to handle discovery, routing, streaming transport, authoritative metering, and credit settlement. The producer client stores the upstream credential locally and uses it to reach the real model backend.

What problem does Fasten Share solve?

Model capacity is usually fragmented across a local Ollama installation, a team’s vLLM deployment, an OpenAI-compatible cloud endpoint, or APIs that speak Anthropic and Azure OpenAI protocols. Sharing those resources directly creates several practical problems:

• consumers cannot easily see which nodes are online or which models they expose;
• producers should not give callers their original upstream credentials;
• base URLs, protocols, and version prefixes differ between backends;
• unavailable, rate-limited, or exhausted nodes need to leave discovery quickly;
• actual usage needs a trusted metering and settlement path.

Fasten Share puts those common responsibilities into one route. Producers can focus on operating a stable backend, while consumers use a generated compatible endpoint instead of learning every producer’s private setup.

Where does one inference request go?

A complete request follows this sequence:

1. A producer adds a backend in the client with its base URL, protocol, models, concurrency, and credit multiplier.
2. The producer client opens an outbound connection to Fasten Share and periodically checks the backend.
3. A consumer searches by model or protocol and selects an online producer node.
4. The consumer sends a request to the generated service URL using a Fasten Share consumer API key.
5. The service routes the request to the selected producer client.
6. The local producer client injects its upstream credential and calls Ollama, a private deployment, or a third-party compatible API.
7. The model response streams back along the same route while the service meters actual forwarded usage and settles credits.

Consumer
  ↓ HTTPS request
Fasten Share service (discover, route, meter, settle)
  ↓ outbound producer connection
Producer client (inject upstream key locally)
  ↓ HTTP request
Model backend

Two boundaries matter: the upstream API key stays on the producer device, while the consumer prompt, request body, and model response pass through the Fasten Share service so it can route and settle the call. Always verify the official HTTPS domain and protect a consumer API key like any other API credential.

What does a producer get?

A producer can publish a local model, private deployment, or compatible online API they are authorized to share. After successful consumer calls, the platform records producer credits under its current rules.

The client lets a producer control models, protocol, version prefix, maximum concurrency, and credit multiplier. A backend can be stopped individually, or the entire client can go offline. Health checks help identify inaccessible endpoints, authentication failures, and exhausted capacity before consumers keep selecting a broken node.

Producer credits are not a promise of fixed income. Withdrawal availability, conversion rates, thresholds, review, and payout rules are those shown in the client at the time of an application. Producers must also confirm that they have the right to share a resource under the upstream account, subscription, forwarding, and commercial-use terms.

What does a consumer get?

A consumer can search by model, protocol, or keyword and use availability, follows, and recent ratings as additional trust signals. After selecting a node, the client generates a Fasten Share endpoint or helps configure a compatible AI tool.

The consumer uses their own Fasten Share API key, not the producer’s upstream key. Depending on the protocol and capabilities published by a node, the current client can prepare configuration for Codex, Claude Code, OpenCode, OpenClaw, Hermes, Pi, or a general curl request.

Why does an open-source client matter?

The producer stores a backend address and upstream key on their own device, so the local client’s behavior should be inspectable. The Fasten Share client is MIT-licensed. Its GitHub repository contains the local configuration, health-check, protocol, and forwarding implementation.

“Open-source client” does not mean that the centralized service is entirely open source, and it does not make every possible sharing arrangement compliant with upstream terms. Fasten Share describes those facts separately so a broad privacy or open-source label does not hide the actual boundary.

Where should you start?

• Producers can begin with How to Share Unused AI Model Capacity Responsibly.
• Local Ollama operators can follow How to Share Ollama and Local LLMs.
• Consumers can use How to Use Shared Models in Codex, Claude Code, OpenCode, and More.
• If you want to explore the real interface first, install the client from the download page.

The core idea is straightforward: organize distributed, authorized model capacity into nodes that can be discovered, called, and metered while keeping upstream and consumer credentials clearly separated.