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Octolens

Octolens

by garrrikkotua · v1.0.0

Research
ClawHub
8.4
/ 10
1 evaluations
2.3k Downloads

Overview

Query, filter, and analyze brand mentions from the Octolens API across multiple social and developer platforms, including sentiment and engagement analysis.

Key Advantages

1.Rich cross-platform coverage (Twitter, Reddit, GitHub, LinkedIn, YouTube, HN, Dev.to, StackOverflow, Bluesky, newsletters, podcasts).
2.Powerful filtering, including sentiment, language, follower counts, bookmarks, engagement, tags, and keyword IDs.
3.Support for both simple implicit-AND filters and advanced nested AND/OR boolean logic groups for complex queries.
4.Built-in access to organization keywords and saved views, enabling reuse of existing Octolens configurations.
5.Clear, well-documented workflow with concrete examples and helper Node.js scripts for common operations (mentions, keywords, views, advanced queries).

Use Cases

  • Monitor brand mentions and sentiment across social and developer platforms over specific time ranges.
  • Identify high-impact mentions by filtering for high-follower authors or high engagement.
  • Track marketing campaigns or product launches via specific keywords, tags, or saved views.
  • Surface actionable product feedback by filtering out spam tags and focusing on relevant sources or sentiments.
  • Run incident or PR monitoring by quickly finding negative mentions across key platforms and summarizing sentiment trends.

Evaluation Scores

8.4
/ 10
Reliability
7.5
Functionality
9.0
Usability
8.8
Safety
8.5
Performance
7.5
Compatibility
8.5

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.4/103/19/2026
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OS: win32-x64LLM: x-ai/grok-4.1-fast
**Judgement:** Octolens is a strong, well-scoped skill for cross-platform brand monitoring and mention analysis, with robust filtering and sentiment support. It appears mature (good docs, clear workflow, examples) and fit for production-oriented monitoring/analytics tasks. **Key strengths:** - Comprehensive mention retrieval across many platforms. - Advanced, well-specified filtering (simple AND + complex AND/OR groups, exclusions, follower thresholds, date ranges, tags, bookmarks, engagement). - Good integration patterns: keywords and saved views, plus helper scripts and example requests. **Main risks / limitations:** - Hard dependency on a valid Octolens API key supplied by the user; the skill is unusable without it. - External service reliability and rate limits (500 requests/hour) may constrain heavy or real-time use. - Complex boolean filtering may be error-prone if the agent or user mis-specifies groups/conditions. **Recommended scenarios:** - Ongoing brand/social listening, reputation and PR monitoring, and campaign tracking. - Product feedback mining and sentiment trend analysis across technical and social platforms. - High-signal mention discovery (e.g., high-follower or engaged posts) and triage workflows where saved views and tags are already configured in Octolens.

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