arxiv-intel
ActiveTool of The Stall
declared in 4.82.0
Search arXiv preprints by query, filtered by field (title/abstract/author/all) and category. Returns title, authors (up to 6), abstract (first 600 chars), arXiv ID, PDF link, publish date, and subject categories. arXiv is the canonical source for AI/ML, CS, physics, math, and quantitative biology preprints — typically months ahead of peer-reviewed journals. Useful for AI research agents, literature scouts, competitive technique tracking, and grant-writing support. No API key required.
Parameters schema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"sort": {
"type": "string",
"description": "Sort order. relevance = arXiv relevance score; lastUpdatedDate = most recently updated; submittedDate = newest submissions first. Default: relevance."
},
"field": {
"type": "string",
"description": "Which field to search. 'all' searches title+abstract+authors. Default: all."
},
"limit": {
"type": "integer",
"description": "Number of papers to return (1–10). Default: 5."
},
"query": {
"type": "string",
"description": "Search terms (e.g. 'diffusion models image generation', 'transformer attention mechanism', 'graph neural networks'). Natural language or keywords."
},
"category": {
"type": "string",
"description": "arXiv category filter (e.g. 'cs.AI', 'cs.LG', 'stat.ML', 'quant-ph', 'math.CO'). Optional."
}
},
"additionalProperties": false
}Parent server
The Stall
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