AI agents

Give AI agents one workspace for account connection, validation, and delivery state.

SocialClaw acts as the control plane for OpenClaw-compatible agents, CLI agents, and code workflows. Connect accounts once, upload media, validate schedules, apply runs, and inspect posts from the same workspace API key.

Works with Claude, ChatGPT, OpenClaw ClaudeChatGPTOpenClaw

Why this workflow fits SocialClaw

One workspace, one connection hub, and one publishing layer.

One workspace key Workspace API key auth The agent authenticates once with the workspace API key, then reuses the same workspace across CLI commands and hosted API calls.
Connect once Reusable account state Connected accounts live inside the SocialClaw workspace, so the agent does not need to re-run OAuth or re-enter manual connection data for every post.
Hosted media Stable public media URLs Upload media to SocialClaw first when a provider expects a public URL, then reuse the returned publicUrl inside the schedule payload.
Safe execution Validate before apply The intended agent pattern is capabilities, settings, discovery actions, upload, validate, apply, and then run inspection.
Inspectable state Runs, posts, analytics, and health Agents can inspect run state, post attempts, analytics snapshots, connection health, and workspace health after the apply step.

How the workflow runs

Connect accounts, upload media, validate posts, then publish.

01

Authenticate the workspace

Create or copy the workspace API key in the dashboard, then log the agent into the hosted SocialClaw service.

02

Connect publishable accounts once

Use the hosted OAuth flow or a manual connection flow so the workspace stores the account state for future agent runs.

03

Inspect capabilities, settings, and discovery actions

Read capabilities before generating the schedule, then call settings or publish-preview style actions when provider-specific behavior matters.

04

Upload media into the workspace

When a provider expects a public media URL, upload the asset to SocialClaw first and reuse the hosted URL in the payload.

05

Validate and apply with an idempotency key

Validation stays in front of publish execution, and apply should use an idempotency key so repeated agent runs do not create duplicate work.

06

Inspect runs and health after publish

Read run state, post attempts, analytics snapshots, connection health, and jobs so the agent can surface operator action when needed.

CLI and HTTP examples

Example commands and requests for this setup.

socialclaw login --api-key <workspace-key> --base-url https://getsocialclaw.com
socialclaw accounts capabilities --account-id <account-id> --json
socialclaw accounts action --account-id <account-id> --action publish-preview --input schedule-preview.json --json
socialclaw assets upload --file ./launch.png --json
socialclaw validate -f schedule.json --json
socialclaw apply -f schedule.json --idempotency-key launch_batch_1 --json
socialclaw status --run-id <run-id> --json

Relevant provider coverage

Integrations that usually fit this setup best.

Related workflows

More routes that fit the same setup.

Operator notes and limits

A few practical limits to keep in mind.

What builders are saying

Real quotes from Reddit, G2, Trustpilot, and Instagram.

Works with every major platform

Connect once, then schedule and publish everywhere from the same workspace.

Frequently Asked Questions

AI agents authenticate with a workspace API key. The key identifies the customer workspace, and connected accounts stay attached to that workspace for later runs.

Start with the AI agents workflow

Create the workspace, connect accounts once, and keep validation plus delivery state inside the same hosted product.

Supported social platforms
Schedule to social media Works with Claude ChatGPT Codex OpenClaw
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