← The evidence ledger
Evidence row 1747595
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 544063d0-bc0d-4b78-8be3-671efd3bccd4
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- b54ecea111a63bf4c2a7e39197af84ad6cdc23e2e98b12f119904d10504c5efd
- Leaf
- 0x685a694eab5aa4b19caa959b7f12d4a769480234a4369dcf790a3838873291e5
What was observed
{
"count": 2,
"tools": [
{
"description": "\n Get information about available recall data sources.\n \n Returns a list of all supported regulatory agencies and their coverage.\n This is a free call that does not consume API credits.\n \n Returns:\n Dictionary with data sources and their descriptions\n ",
"inputSchema": {
"properties": {},
"title": "get_data_sourcesArguments",
"type": "object"
},
"name": "get_data_sources"
},
{
"description": "\n Search for recalled products similar to your query.\n \n This tool searches DeepRecall's global product safety database using AI-powered\n multimodal matching. Provide a text description and/or product images to find\n similar recalled products.\n \n Use Cases:\n - Pre-purchase safety checks: Before buying, verify if similar products were recalled\n - Supplier vetting: Check if a supplier's products have safety issues\n - Marketplace compliance: Verify products against recall databases\n - Consumer protection: Identify potentially hazardous products\n \n Data Sources:\n - us_cpsc: US Consumer Product Safety Commission\n - us_fda: US Food and Drug Administration\n - safety_gate: EU Safety Gate (Europe)\n - uk_opss: UK Office for Product Safety & Standards\n - canada_recalls: Health Canada Recalls\n - oecd: OECD GlobalRecalls portal\n - rappel_conso: French Consumer Recalls\n - accc_recalls: Australian Competition and Consumer Commission\n \n Cost: 1 API credit per search\n \n Args:\n content_description: Text description of the product (e.g., \"children's toy with small parts\")\n image_urls: List of product image URLs for visual matching (1-10 images)\n filter_by_data_sources: Limit search to specific agencies (optional)\n top_k: Number of results (1-100, default: 10)\n model_name: Fusion model - fuse_max (recommended), fuse_flex, or fuse\n input_weights: Weights for [text, images], must sum to 1.0\n api_key: Your DeepRecall API key (optional if provided via X-API-Key header)\n \n Returns:\n Search results with matched recalls, scores, and product details\n \n Example:\n search_recalls(\n content_description=\"baby crib with drop-side rails\",\n top_k=5\n )\n ",
"inputSchema": {
"properties": {
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"content_description": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Content Description"
},
"filter_by_data_sources": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Filter By Data Sources"
},
"image_urls": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Image Urls"
},
"input_weights": {
"default": [
0.5,
0.5
],
"items": {
"type": "number"
},
"title": "Input Weights",
"type": "array"
},
"model_name": {
"default": "fuse_max",
"title": "Model Name",
"type": "string"
},
"top_k": {
"default": 10,
"title": "Top K",
"type": "integer"
}
},
"title": "search_recallsArguments",
"type": "object"
},
"name": "search_recalls"
}
]
}What the leaf hashes
{"body":"b54ecea111a63bf4c2a7e39197af84ad6cdc23e2e98b12f119904d10504c5efd","id":1747595,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793516638937835,"prev":null,"subject":"544063d0-bc0d-4b78-8be3-671efd3bccd4","subject_kind":"endpoint"}Proof
Its day has not closed yet. A day closes ten minutes after midnight UTC; the proof appears here then.