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Endpoint

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GET
string
https://api.llmquant.com/knowledge/papers/search

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Parameters

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Required

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q
string
required
Search query string (e.g. momentum crash, factor zoo, deep learning alpha).

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Optional

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limit
integer
default:10
Maximum number of results to return (max: 50).
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tags
string
Comma-separated list of tags to filter by (e.g. factor,machine-learning).
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published_after
date
Filter to papers published after this date (YYYY-MM-DD).
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published_before
date
Filter to papers published before this date (YYYY-MM-DD).

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Response

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results
array
Array of PaperCard objects ranked by relevance.
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total
integer
Total number of matching results.

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Code Examples

import requests

headers = {"X-API-KEY": "your_api_key_here"}

url = "https://api.llmquant.com/knowledge/papers/search?q=momentum+crash&limit=5"

response = requests.get(url, headers=headers)
results = response.json().get("results")

for paper in results:
    print(paper["title"])
    print(paper["summary"])
    print()