[KongchangAI]
Unverified50% confidenceBenchmarkExact time

By stripping outputs and metadata, passing only code-cell diffs, and replacing overly long lines with length+hash, the token consumption per notebook review can be cut from about 30k to 1k–1.6k, a reduction of over 95%.

1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/17/2026
First Seen
Valid until: 1/15/2027

Sources

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https://kongchang.com/claim/1052564
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curl https://kongchang.com/api/v1/knowledge/claims/1052564
MCP
get_claim(id=1052564)