# How to connect Artificial Analysis to OpenClaw (paste one key, 12 tools) > Connect Artificial Analysis to OpenClaw with ClawLink: paste your Artificial Analysis key once and 12 tools work from chat. No MCP server to run, nothing stored on your machine. Web version: https://claw-link.dev/openclaw/artificial-analysis The usual route to Artificial Analysis access for OpenClaw is an MCP server you configure and keep running, plus your own OAuth app or API keys. ClawLink gives OpenClaw a more practical Artificial Analysis setup: install one ClawHub skill, connect Artificial Analysis in the browser, and OpenClaw can call real Artificial Analysis actions from any chat surface with no auth, token refresh, or tool wiring to build yourself. ## Setup It takes three steps to connect OpenClaw to Artificial Analysis. 1. **Install ClawLink** — add the plugin to OpenClaw once. 2. **Connect Artificial Analysis** — one-click OAuth in the ClawLink dashboard. 3. **Use it from chat** — ask OpenClaw in plain English. **Paste this into OpenClaw to set up ClawLink:** > I want to connect my apps to OpenClaw through ClawLink. > Please install the ClawLink plugin from ClawHub and enable it: `openclaw plugins install clawhub:clawlink-plugin` > When it is installed, tell me and stop. After I reply, give me the ClawLink pairing link. Setup notes, if you need them: https://claw-link.dev/skill.md **Alternative for any agent (no plugin needed):** if the OpenClaw plugin route isn't available or doesn't work, any AI agent with shell access can use the ClawLink CLI instead: ```bash npx -y @useclawlink/cli login # sign in via browser — no API key to paste npx -y @useclawlink/cli connect artificial-analysis # connect Artificial Analysis (browser OAuth) npx -y @useclawlink/cli actions artificial-analysis # list available actions npx -y @useclawlink/cli run artificial-analysis --input '' # execute (add --confirm for writes) ``` ### Install by command The setup prompt above does all of this in one paste. By hand, it is one install command plus a browser approval: ```bash openclaw plugins install clawhub:clawlink-plugin ``` Then ask OpenClaw to set up ClawLink. It starts browser pairing and prints an approval link — open it, approve the device, return to the chat, and say `done`. Finally, connect Artificial Analysis in the [ClawLink dashboard](https://claw-link.dev/dashboard) — paste your Artificial Analysis API key once. Verify the connection by asking OpenClaw: > List the relevant items in Artificial Analysis, group them by priority, and recommend what OpenClaw should do next. ### Using a different agent? The OpenClaw plugin is one client of ClawLink's MCP server. Claude Code, Cursor, Codex, or any agent that can run a shell command pairs with the same ClawLink account through the CLI: ```bash npx -y @useclawlink/cli login ``` `login` opens the same browser approval and stores a credential locally. Once Artificial Analysis is connected in the dashboard, that agent calls the same 12 Artificial Analysis tools over MCP. Full setup for MCP clients and shell agents: [connect apps to any AI agent](https://claw-link.dev/learn/connect-apps-to-any-ai-agent). ## Artificial Analysis MCP for OpenClaw Looking for a Artificial Analysis MCP server for OpenClaw? ClawLink connects Artificial Analysis to OpenClaw and exposes 12 Artificial Analysis tools your agent can call over [MCP](https://claw-link.dev/learn/what-is-an-mcp-server), with [hosted auth](https://claw-link.dev/learn/oauth-for-ai-agents) and nothing to run or maintain yourself. Using Hermes instead? The [Hermes Artificial Analysis integration](https://claw-link.dev/hermes/artificial-analysis) works the same way. ## What the OpenClaw Artificial Analysis integration can do 12 Artificial Analysis tools are ready for OpenClaw once the account is connected. ### All 12 Artificial Analysis tools for OpenClaw | Tool | What it does | |---|---| | **List image editing models** `artificial_analysis_list_image_editing_models` | List image-editing models ranked by the Artificial Analysis arena, with Elo score and 95% | | **List image to video audio models** `artificial_analysis_list_image_to_video_audio_models` | List image-to-video-with-audio models ranked by the Artificial Analysis arena, with Elo score | | **List image to video models** `artificial_analysis_list_image_to_video_models` | List image-to-video models ranked by the Artificial Analysis image-to-video arena, with Elo | | **List language models** `artificial_analysis_list_language_models` | List LLMs from the Artificial Analysis leaderboard with intelligence, coding and agentic | | **List music instrumental models** `artificial_analysis_list_music_instrumental_models` | List instrumental music-generation models ranked by the Artificial Analysis arena, with Elo | | **List music with vocals models** `artificial_analysis_list_music_with_vocals_models` | List music-with-vocals generation models ranked by the Artificial Analysis arena, with Elo | | **List speech to speech models** `artificial_analysis_list_speech_to_speech_models` | List speech-to-speech models with Big Bench Audio (bba_score), Full Duplex Bench (fdb_score) | | **List speech to text models** `artificial_analysis_list_speech_to_text_models` | List speech-to-text (transcription) models with the Artificial Analysis overall word-error-rate | | **List text to image models** `artificial_analysis_list_text_to_image_models` | List text-to-image models ranked by the Artificial Analysis image arena, with Elo score and 95% | | **List text to speech models** `artificial_analysis_list_text_to_speech_models` | List text-to-speech (TTS) models ranked by the Artificial Analysis arena, with Elo score and | | **List text to video audio models** `artificial_analysis_list_text_to_video_audio_models` | List text-to-video-with-audio models ranked by the Artificial Analysis arena, with Elo score | | **List text to video models** `artificial_analysis_list_text_to_video_models` | List text-to-video models ranked by the Artificial Analysis arena, with Elo score and 95% | ## Example prompts **List Image Editing Models** > List the relevant items in Artificial Analysis, group them by priority, and recommend what OpenClaw should do next. **List Image To Video Audio Models** > List the relevant items in Artificial Analysis, group them by priority, and recommend what OpenClaw should do next. **List Image To Video Models** > List the relevant items in Artificial Analysis, group them by priority, and recommend what OpenClaw should do next. **List Language Models** > List the relevant items in Artificial Analysis, group them by priority, and recommend what OpenClaw should do next. ## ClawLink vs. building it yourself The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for OpenClaw. That is fine if you want to build and maintain the integration yourself. Most teams just want Artificial Analysis working from chat. | | Manual | ClawLink | |---|---|---| | **Credential handling** | Collect, validate, store, and rotate the Artificial Analysis API key yourself, then make sure every tool call uses the right account. | Users complete the hosted ClawLink setup once and the connected Artificial Analysis account becomes available to the agent without you building credential management. | | **Ongoing maintenance** | You own refresh logic, permission debugging, environment config, and every provider-specific edge case for Artificial Analysis. | ClawLink handles the repetitive integration plumbing so your team can focus on the workflow instead of the infrastructure. | | **Agent usability** | You still need to expose the right Artificial Analysis actions to the runtime in a format your agent can reliably use. | 12 tools for Artificial Analysis are already exposed through ClawLink, so the agent can read and act from chat immediately. | ## ClawLink vs. Composio Composio also exposes Artificial Analysis to AI agents. It is developer infrastructure: Python and TypeScript SDKs, an MCP server, and a catalog past 1,000 apps, aimed at teams shipping agent products. ClawLink is built for OpenClaw users instead. You install the plugin once, connect Artificial Analysis in the browser, and the 12 tools above work from chat. There is no SDK and no config file, and the Artificial Analysis key you paste at setup is stored server-side rather than kept in your environment. Choosing between them? Read the full [Composio alternatives](https://claw-link.dev/hub/composio-alternatives) comparison. ### OpenClaw installed the Artificial Analysis skill but can't call the tools The ClawHub skill teaches OpenClaw about Artificial Analysis, but the calls run through the ClawLink plugin and your connected account. Make sure Artificial Analysis is connected in the dashboard, then start a fresh chat so OpenClaw reloads the tool catalog. If OpenClaw runs as a persistent gateway, restart it so the new tools register. ### Connection succeeds but no tools appear Reconnect Artificial Analysis from the dashboard, then start a fresh chat if the runtime still has the old tool catalog loaded. ### "Tool schema not loaded yet" error when calling Artificial Analysis tools Artificial Analysis tool schemas load on demand the first time a tool runs and are cached after that, so this error usually clears on its own: wait a few seconds and retry the same request. If every Artificial Analysis call keeps failing with it in a fresh chat, reconnect from the dashboard, and contact support if it still persists — that pattern points to a configuration problem on our side, not something you can fix by reconnecting again. ### Artificial Analysis returns 403 or "permission denied" on one action while others work Two usual causes. The connected account may not have access to the specific workspace, inbox, store, or project in the request — check that first. If access looks right, the agent may have sent a placeholder value (like "YOUR_ID" or an example id from documentation) instead of a real one: ask it to run a list or search tool first, then retry the action with a real id from those results. Most failures at this stage are one of these two, not ClawLink bugs. ### API key setup works but results look incomplete Double-check that the API key for Artificial Analysis has the right scopes or account access. A valid key can still be too limited for some reads or writes. ### Is there a OpenClaw Artificial Analysis integration? Yes. ClawLink is the fastest way to connect OpenClaw to Artificial Analysis: link your Artificial Analysis account once in the browser and OpenClaw can call the Artificial Analysis API through 12 ready-made tools — no custom code or token handling. ### How do I add Artificial Analysis to OpenClaw with ClawLink? Paste the setup prompt from this page into OpenClaw. It installs the ClawLink Artificial Analysis skill from ClawHub, then you click Connect in the dashboard to authorize Artificial Analysis. OpenClaw calls the tools from the next message — no config files, and the Artificial Analysis key you paste is stored server-side instead of in your environment. ### How long does it take to connect Artificial Analysis to OpenClaw? About two minutes. Sign in, click Connect next to Artificial Analysis in the dashboard, authenticate, and OpenClaw can use it from the next chat message. ### Why use ClawLink instead of wiring Artificial Analysis up myself? The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for OpenClaw. That is fine if you want to build and maintain the integration yourself. Most teams just want Artificial Analysis working from chat. ### OpenClaw installed the Artificial Analysis skill but can't call the tools The ClawHub skill teaches OpenClaw about Artificial Analysis, but the calls run through the ClawLink plugin and your connected account. Make sure Artificial Analysis is connected in the dashboard, then start a fresh chat so OpenClaw reloads the tool catalog. If OpenClaw runs as a persistent gateway, restart it so the new tools register. ## Related - [OpenClaw DataRobot integration](https://claw-link.dev/openclaw/datarobot) — DataRobot is a machine learning platform that automates model building, deployment, and monitoring, enabling organizations to derive predictive insights from large datasets. - [Chatbotkit tools](https://claw-link.dev/openclaw/chatbotkit) — ChatBotKit is a platform that enables developers to build and manage AI-powered chatbots, offering comprehensive APIs and SDKs for seamless integration into applications. - [OpenClaw Just One API integration](https://claw-link.dev/openclaw/just-one-api) — Just One API provides unified access to public social media, creator, entertainment, and ecommerce data across hundreds of metered endpoints.