genpark-statistical-zscore-iqr-anomaly-detector-skill
Multi-strategy anomaly detector computing standard Z-score, modified median absolute deviation (MAD), and Tukey IQR fences on numerical streams.
Details
- External ID
- 1391682309
- Source
- GITHUB
- Company
- —
- Product
- genpark-statistical-zscore-iqr-anomaly-detector-skill
- Website domain
- genpark.ai
- Launched
- Sept. 28, 2026
- Cohort
- —
- Upvotes
- 7
- Upvotes percentile
- 0.05976172175249808
- Tags
- ai-agent, anomaly-detection, data-science, linear-regression, mcp, mcp-server, model-context-protocol, pca-svd, statistics, time-series, zero-dependency
- Fetched at
- Sept. 30, 2026, 1:02 a.m.
- Updated at
- Sept. 30, 2026, 1:02 a.m.
Enrichment
- Theme
- specialized AI models and agent reasoning tools
- Vertical
- Horizontal
- Function
- Analytics & BI
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- statistical anomaly detector for numerical streaming data
- Manually corrected
- False
Could you build this?
Yes Implementing classical statistical anomaly algorithms like Z-score, MAD, and Tukey IQR fences on numerical data streams consists of standard statistical formulas easily built in Python.
Competitors
Other products that read as similar to this one — 398 launches clear the similarity bar, closest 8 shown.
Attention rank: #169 of 399 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 318 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.
Same idea, different domain
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