fastrouter-setupAdd the FastRouter AI provider to OpenClaw with all available text and vision models, fetched live from the FastRouter API. Use when: (1) a user wants to set...
Install via ClawdBot CLI:
clawdbot install vamsimnet/fastrouter-setupGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.fastrouter.ai`Audited Apr 17, 2026 · audit v1.0
Generated Oct 4, 2026
A solo developer using OpenClaw wants access to multiple frontier models through a single API key instead of signing up for separate provider accounts. They paste 'set up fastrouter with API key sk-v1-...' into the agent, which fetches the live model list and writes the provider config. The gateway restarts and they can immediately switch between Claude, GPT, and Gemini variants with /model.
A small AI consultancy standardizes every client OpenClaw deployment on FastRouter so billing, model availability, and key rotation are centralized. Onboarding a new client involves running this skill with the client's FastRouter key and reporting the list of available text and vision models. Refreshing the model list is a repeatable maintenance step as FastRouter adds new models.
An early-stage startup wants its internal OpenClaw agents to have consistent access to vision and text models without per-engineer provider accounts. The platform engineer runs this skill once, documents the resulting config, and distributes the process. Engineers switch between fastrouter models for coding, document understanding, and multimodal tasks.
A university lab uses OpenClaw for research prototypes that mix text and image inputs. They configure FastRouter to quickly compare model outputs across providers without managing multiple keys. The vision-capable models surfaced by the skill's filter make it easy to run image-based experiments alongside text pipelines.
An indie developer running a personal OpenClaw assistant wants to try FastRouter's catalog after hearing about competitive pricing. They run the setup skill, review the model count reported back, and pin a couple of favorites as default agent models. Later they re-run the skill to refresh the list when new models launch.
FastRouter aggregates many upstream model providers behind a single OpenAI-compatible endpoint and charges customers based on token usage. OpenClaw treats cost as zero locally because FastRouter handles billing on its own side. Revenue scales directly with inference volume flowing through the gateway.
The OpenClaw setup skill drives adoption by making provider onboarding frictionless, which feeds users into FastRouter's funnel. Free or low-cost access attracts hobbyists, while teams and heavier users upgrade to higher rate limits and priority routing. The skill itself is a distribution channel for the paid platform.
Consultancies and platform teams embed FastRouter into client deployments to avoid managing many provider contracts. FastRouter can monetize through enterprise agreements that bundle centralized billing, SSO, and usage analytics. OpenClaw's config-based integration makes it easy to standardize across many client environments.
💬 Integration Tip
Run this skill in an environment where the agent has filesystem access to ~/.openclaw/openclaw.json, and confirm the FastRouter API key is valid before restarting the gateway so you avoid a broken model list.
Scored Oct 4, 2026
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