DeepRecall FAQs

Question 1

What types of searches does DeepRecall support for recalled products?

Accepted Answer

AI agents can search for recalled products using both natural language text descriptions (e.g., 'baby cribs with drop-side rails') and/or by providing product image URLs. You can also filter searches by specific international regulatory agencies.

Question 2

What is DeepRecall and its primary purpose?

Accepted Answer

DeepRecall delivers vital product safety intelligence to AI agents, enabling them to search a vast database of over 120,000 recalled products from 8 international regulatory agencies. Its core purpose is to prevent unsafe products from entering agentic commerce workflows.

Question 3

How can AI agents integrate with DeepRecall?

Accepted Answer

DeepRecall functions as an MCP-compatible server, allowing seamless integration with clients like Cursor and Claude Desktop. It's also specifically designed for Universal Commerce Protocol (UCP) integration, providing a critical product safety layer for agentic commerce applications.

Question 4

How can I get access to DeepRecall?

Accepted Answer

DeepRecall is currently in closed beta. Access is available by invitation for beta testers and for enterprise clients. You can contact the DeepRecall team via email (contact@deeprecall.io) to request access or inquire about enterprise solutions and API keys.

Question 5

Which product safety data sources does DeepRecall cover?

Accepted Answer

DeepRecall aggregates recall data from 8 leading international agencies: the US Consumer Product Safety Commission (CPSC), US Food and Drug Administration (FDA), EU Safety Gate (RAPEX), UK Office for Product Safety & Standards (OPSS), Health Canada, OECD GlobalRecalls, RappelConso (France), and ACCC (Australia).

DeepRecall

DeepRecall

Key Features

Use Cases

Key Features

Use Cases