Overview
Fingerprints text with a 64-bit SimHash for near-duplicate detection, computed entirely locally. Uses token-level k-shingles (default k=3) with FNV-1a; two SimHashes are 'close' (small Hamming distance) iff the underlying texts share many shingles. Returns hex + decimal forms plus token + shingle counts. Useful for content dedup pipelines, plagiarism detection, and bot-content clustering. Use it as a content fingerprint, dedup hash, or locality-sensitive hash.
Health
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Recent Health Checks
| Time | Status | HTTP | Latency | Error |
|---|---|---|---|---|
| 2026-09-17 05:23:14 | healthy | 402 | 66ms | |
| 2026-09-16 14:26:42 | healthy | 402 | 3637ms | |
| 2026-09-16 10:30:34 | healthy | 402 | 4456ms | |
| 2026-09-16 01:45:12 | healthy | 402 | 53ms | |
| 2026-09-15 18:46:43 | healthy | 402 | 78ms | |
| 2026-09-15 02:52:24 | healthy | 402 | 2421ms | |
| 2026-09-15 00:51:13 | healthy | 402 | 2212ms | |
| 2026-09-14 12:01:34 | timeout | — | — | timeout |