DeepRecall - Product Safety Intelligence

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

{'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 )

{'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': None}, 'image_urls': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Image Urls', 'default': None}, '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': None}, 'filter_by_data_sources': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Filter By Data Sources', 'default': None}}}