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A word-finding query engine that returns words related by meaning, sound, spelling, and context. Used in NLP data engineering pipelines for synonym expansion, keyword generation, text augmentation datasets, and building linguistic feature engineering workflows in Python.
Engineers query Datamuse with `requests`, using parameters like `rel_rhy` (rhymes), `ml` (means like), and `sp` (spelled like) to retrieve ranked word lists. The zero-auth, no-rate-limit API makes it easy to batch-process vocabulary datasets.
Datamuse enhances LLM-based language tools with lexically precise word suggestions. Use it as an MCP tool for AI writing assistants that need rhyme dictionaries or synonym lookups, or collect its word relationship graphs as training signal for semantic similarity models.
# pip install requests
import requests
# Find words that rhyme with "code"
rhymes = requests.get("https://api.datamuse.com/words",
params={"rel_rhy": "code"}).json()
print("Rhymes with 'code':", [w["word"] for w in rhymes[:10]])
# Find synonyms for "fast"
synonyms = requests.get("https://api.datamuse.com/words",
params={"rel_syn": "fast"}).json()
print("Synonyms of 'fast':", [w["word"] for w in synonyms[:10]])Official dataset source
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