How to Connect Clay to OpenClaw | Cody

If you're searching for "how to connect Clay to OpenClaw", the real question is usually not just whether the connection is possible. It's how to make Clay usable inside an OpenClaw workflow with the right model, the right context, and the right level of control.

That's the practical framing.

OpenClaw gives you the orchestration layer: connectors, skills, tools, prompts, approvals, and the ability to run workflows where your team already works. Clay provides the domain context. The integration becomes valuable when those two pieces are connected cleanly.

What “Connect Clay to OpenClaw” Actually Means

In practice, connecting Clay to OpenClaw usually involves four layers:

Authentication so OpenClaw can securely access Clay
Tooling or proxy endpoints that expose the right Clay actions and data
Skills/instructions that tell OpenClaw how to reason over Clay context
Model selection so the assistant uses the right LLM for the job

That last piece matters more than most people expect.

Which Models Can You Use?

OpenClaw is model-flexible, so a Clay integration does not need to be tied to a single provider. Depending on your setup, teams commonly want to use:

OpenAI models like GPT-4o, GPT-4.1, and o3 for broad reasoning and tool use
Anthropic models like Claude 3.5 Sonnet, Claude Sonnet 4/4.5, and Claude Opus for strong writing, analysis, and long-context work
Google models like Gemini 1.5 Pro or newer Gemini models for multimodal and large-context workflows
Other model backends if your OpenClaw environment exposes them

The practical point: you can connect Clay to OpenClaw once, then run different workflows with different models depending on the job.

For example:

Use Claude for nuanced summarisation or drafting
Use OpenAI for structured extraction, tool-heavy workflows, or general-purpose copiloting
Use Gemini when multimodal or very large context windows matter

A Good Integration Pattern for Clay

A strong Clay + OpenClaw setup usually looks like this:

OpenClaw receives a request in chat or from an automation
It calls the right Clay endpoint or proxy
The selected model reasons over the returned context
OpenClaw returns an answer, draft, classification, or action
High-risk actions stay behind approvals or structured guardrails

That is what makes the setup operational rather than just experimental.

Step-by-Step: Connect Clay to OpenClaw

Step 1: Get Your Clay API Key

Log into Clay and navigate to Settings → API Access to find your API key. Clay's API lets you interact with tables, claytables, and integrations programmatically. Authenticate all requests using your API key in the request headers.

Step 2: Identify Table and Workflow Endpoints

Clay's API exposes endpoints for reading table data, checking enrichment run status, and triggering workflows. Use the table list endpoint to discover your most-used tables and note their IDs for the skill file.

Step 3: Build the Proxy and Skill File

Build your proxy around the table query and workflow status endpoints. Write ~/.openclaw/skills/clay.md with your table names and IDs, and the most common queries your team runs — enrichment status, row counts, recent additions.

Model-Specific Workflow Ideas

Clay + OpenAI

Use this when you want a strong general-purpose setup for extraction, classification, action planning, and tool-driven workflows around Clay.

Clay + Claude

Use this when you want better writing quality, clearer summaries, stronger nuance, and reliable long-context reasoning over Clay data.

Clay + Gemini

Use this when the workflow benefits from large context windows, multimodal inputs, or Google-native ecosystem alignment.

Common Mistakes

Most teams do not fail because the model is bad. They fail because:

the Clay connection is too thin
the model lacks the right live context
prompts are vague
no structured outputs are enforced
permissions and approvals are skipped
one model is forced to do every job, even when another would be a better fit

The best setup is usually one integration layer, multiple model options, and clear guardrails.

Challenges and Caveats

API Access Varies by Plan

Clay's API access is available on higher-tier plans. Starter plans may have limited or no API access. Check your plan before investing in the integration.

Table Schemas Change Frequently

Clay tables are often modified as enrichment workflows evolve. Your skill file's column name references can become stale quickly if your tables are actively changing.

Want Clay Connected to OpenClaw Without Building the Whole Stack Yourself?

Cody has Clay integration built in. Query enrichment tables and workflow status from Slack without API setup.

Get started with Cody →

Related OpenClaw Guides

Looking for a more workflow-first angle? See: Clay AI Automation and Clay AI Assistant.