Integrations·AI & ML
Scale ai + OpenClaw
Give your autonomous agents a live connection to Scale ai: managed, secure, and ready in minutes.
Scale ai provides machine learning data labeling and annotation services. On Molted, your OpenClaw agents connect to Scale ai through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can call models, run inference, and chain AI capabilities for Scale ai, autonomously and within the guardrails you set.
Available actions
41 ready-to-use Scale ai actions.
Your OpenClaw agents can call any of these Scale ai actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
SCALE_AI_ADD_STUDIO_ASSIGNMENTS
Add Studio Assignments
Tool to add project assignments to team members in Scale AI Studio. Use when you need to assign specific projects to team members by their email addresses…
SCALE_AI_ADD_TASK_TAGS
Add Task Tags
Tool to add tags to an existing task. Use when you need to tag or categorize tasks for organization and filtering. Automatically avoids duplicate tags.
SCALE_AI_CREATE_BATCH
Create Batch
Tool to create a new batch within a project. Use when you need to group multiple tasks together for organizational and processing purposes.
SCALE_AI_CREATE_DOCUMENT_TRANSCRIPTION_TASK
Create Document Transcription Task
Tool to create a document transcription task where workers transcribe and annotate information from single or multi-page documents. Use when you need to…
SCALE_AI_CREATE_IMAGE_ANNOTATION_TASK
Create Image Annotation Task
Tool to create an image annotation task where annotators label images with vector geometric shapes (box, polygon, line, point, cuboid, ellipse). Use when you…
SCALE_AI_CREATE_LIDAR_ANNOTATION_TASK
Create Lidar Annotation Task
Tool to create a lidar annotation task where annotators mark objects with 3D cuboids in 3D space. Use when you need to annotate LIDAR frame sequences with 3D…
SCALE_AI_CREATE_LIDAR_SEGMENTATION_TASK
Create LiDAR Segmentation Task
Tool to create a LiDAR segmentation task where annotators assign semantic class labels to individual LiDAR points. Use when you need to annotate point cloud…
SCALE_AI_CREATE_NAMED_ENTITY_RECOGNITION_TASK
Create Named Entity Recognition Task
Tool to create a named entity recognition task for labelers to highlight text entity mentions. Use when you need to extract and label entities such as people…
SCALE_AI_CREATE_SEGMENTATION_ANNOTATION_TASK
Create Segmentation Annotation Task
Tool to create a segmentation task where annotators classify pixels in an image according to provided labels. Use when you need pixel-wise semantic…
SCALE_AI_CREATE_TEXT_COLLECTION_TASK
Create Text Collection Task
Tool to create a textcollection task for collecting information from attachments and/or web sources. Use when you need to gather structured data from…
+ 31 more Scale ai actions, all callable by your agents.
How the connection works
Connect once. The agent acts.
Scale ai connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.
01
The agent requests access
Your OpenClaw agent asks for Scale ai when a task needs it.
02
You approve the connection
Authorize Scale ai once (API key). Credentials are encrypted at rest and scoped to what you allow.
03
The agent acts
It reads and writes to Scale ai autonomously, inside your guardrails, with full audit and revocable access.
FAQ
Scale ai on Molted, answered.
Q.01
Can OpenClaw agents use Scale ai on Molted?
Yes. Scale ai is one of 1,000+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on Scale ai straight away, with no integration code to write or maintain.
Q.02
How do I connect Scale ai to my agent?
Scale ai connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod.
Q.03
What can an agent actually do with Scale ai?
Within the permissions you grant, an agent can call models, run inference, and chain AI capabilities. Scale ai lets your agent call models for generation, classification or extraction inside a workflow.
Q.04
Is my Scale ai data and credentials secure?
Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke Scale ai access at any time.
Q.05
Do I have to run any infrastructure to use Scale ai?
No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting Scale ai is a configuration step, not an engineering project.
Q.06
Does the Scale ai integration cost extra on Molted?
No. Scale ai is part of Molted's managed MCP integration layer at no extra per-app fee. You pay for agent compute and your plan; connecting Scale ai and the other 1,000+ apps is included.
Ship agents that use Scale ai, not infrastructure.
Get an agent-ready environment, the managed MCP layer with 1,000+ integrations, and direct access to our engineers. Onboarding within days.