Datashift FAQs

Question 1

What is the Model Context Protocol (MCP) in relation to Datashift?

Accepted Answer

The Model Context Protocol (MCP) is the underlying protocol used by Datashift. It enables AI agents to submit tasks for human or AI review and receive decisions, integrating directly into MCP-compatible tools and systems.

Question 2

What types of review tasks can AI agents initiate?

Accepted Answer

Datashift supports various review types including approval, classification, scoring, labeling, and augmentation. Agents can submit tasks for any of these specific review processes.

Question 3

What is Datashift?

Accepted Answer

Datashift is a tool that facilitates agent-initiated review workflows, allowing AI agents to submit tasks for human or AI oversight and retrieve the results seamlessly.

Question 4

How does Datashift integrate with AI agent workflows?

Accepted Answer

AI agents use Datashift to decide when to request human or AI oversight. They can submit tasks for various review types (e.g., approval, classification) and check the status or retrieve decisions via the Model Context Protocol (MCP) server.

Question 5

How does Datashift ensure secure agent authentication?

Accepted Answer

Datashift uses OAuth 2.0 with PKCE for secure agent authentication. AI agents obtain a JWT from the Datashift API's OAuth endpoints, which is validated to ensure secure access to review workflows.

Datashift

Key Features

Use Cases

Datashift

Key Features

Use Cases