Search 120,000+ recalled products from 8 global safety agencies using AI similarity.
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DeepRecall API key (starts with dr_live_)
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Get information about available recall data sources. Returns a list of all supported regulatory agencies and their coverage. This is a free call that does not consume API credits. Returns: Dictionary with data sources and their descriptions
This tool takes no arguments.
This tool isn't marked read-only, so it may change something on the server or in an account you connected.
Get information about available recall data sources. Returns a list of all supported regulatory agencies and their coverage. This is a free call that does not consume API credits. Returns: Dictionary with data sources and their descriptions
No arguments.
{
"type": "object",
"title": "get_data_sourcesArguments",
"properties": {}
}Search for recalled products similar to your query. This tool searches DeepRecall's global product safety database using AI-powered multimodal matching. Provide a text description and/or product images to find similar recalled products. Use Cases: - Pre-purchase safety checks: Before buying, verify if similar products were recalled - Supplier vetting: Check if a supplier's products have safety issues - Marketplace compliance: Verify products against recall databases - Consumer protection: Identify potentially hazardous products Data Sources: - us_cpsc: US Consumer Product Safety Commission - us_fda: US Food and Drug Administration - safety_gate: EU Safety Gate (Europe) - uk_opss: UK Office for Product Safety & Standards - canada_recalls: Health Canada Recalls - oecd: OECD GlobalRecalls portal - rappel_conso: French Consumer Recalls - accc_recalls: Australian Competition and Consumer Commission Cost: 1 API credit per search Args: content_description: Text description of the product (e.g., "children's toy with small parts") image_urls: List of product image URLs for visual matching (1-10 images) filter_by_data_sources: Limit search to specific agencies (optional) top_k: Number of results (1-100, default: 10) model_name: Fusion model - fuse_max (recommended), fuse_flex, or fuse input_weights: Weights for [text, images], must sum to 1.0 api_key: Your DeepRecall API key (optional if provided via X-API-Key header) Returns: Search results with matched recalls, scores, and product details Example: search_recalls( content_description="baby crib with drop-side rails", top_k=5 )
| Argument | Type | Description |
|---|---|---|
| top_k | integer | |
| api_key | any | |
| image_urls | any | |
| model_name | string | |
| input_weights | array | |
| content_description | any | |
| filter_by_data_sources | any |
{
"type": "object",
"title": "search_recallsArguments",
"properties": {
"top_k": {
"type": "integer",
"title": "Top K",
"default": 10
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Api Key",
"default": null
},
"image_urls": {
"anyOf": [
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "null"
}
],
"title": "Image Urls",
"default": null
},
"model_name": {
"type": "string",
"title": "Model Name",
"default": "fuse_max"
},
"input_weights": {
"type": "array",
"items": {
"type": "number"
},
"title": "Input Weights",
"default": [
0.5,
0.5
]
},
"content_description": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Content Description",
"default": null
},
"filter_by_data_sources": {
"anyOf": [
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "null"
}
],
"title": "Filter By Data Sources",
"default": null
}
}
}