octolensQuery and analyze brand mentions from Octolens API. Use when the user wants to fetch mentions, track keywords, filter by source platforms (Twitter, Reddit, GitHub, LinkedIn, etc.), sentiment analysis, or analyze social media engagement. Supports complex filtering with AND/OR logic, date ranges, follower counts, and bookmarks.
Install via ClawdBot CLI:
clawdbot install garrrikkotua/octolensGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://app.octolens.com/api/v1/mentionsCalls external URL not in known-safe list
https://app.octolens.com/api/v1`AI Analysis
The skill's external API calls are explicitly documented and directly serve its stated purpose of querying the Octolens brand monitoring service. While it requires an API key, the skill instructs the assistant to ask the user for it, showing no evidence of credential harvesting, hidden instructions, or obfuscated malicious behavior.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
A marketing team tracks mentions of their brand across social media to gauge public sentiment and respond to customer feedback. They filter by positive and negative sentiment on Twitter and LinkedIn, focusing on posts with high follower counts to prioritize influential voices. This helps them manage brand perception and address issues promptly.
A tech startup monitors mentions of competitors' products on platforms like GitHub and HackerNews to identify feature gaps and user pain points. They use complex filters to exclude spam and focus on recent posts with neutral or negative sentiment, enabling data-driven product development decisions.
A SaaS company uses Octolens to filter mentions by keywords related to bugs or feature requests on Reddit and StackOverflow. They analyze sentiment trends over specific date ranges to identify recurring issues and improve support documentation, enhancing customer satisfaction and reducing support tickets.
A media agency tracks engagement on YouTube and newsletters for specific topics or tags to measure content performance. They filter by high-engagement posts and positive sentiment to identify successful content formats, informing future editorial calendars and boosting audience growth.
A publicly traded company monitors mentions on LinkedIn and podcasts for financial news or analyst discussions. They use advanced filtering with AND/OR logic to exclude irrelevant sources and focus on posts with high follower counts, providing insights for investor communications and market positioning.
Octolens offers tiered subscription plans based on API request limits and advanced features like sentiment analysis or historical data access. Revenue is generated through monthly or annual fees from businesses needing continuous brand monitoring, with higher tiers for enterprises requiring more data and customization.
A free tier provides basic mention tracking with limited filters and lower rate limits, attracting small businesses or individual users. Premium upgrades unlock advanced filtering, higher request quotas, and priority support, driving conversion through value-added features for growing companies.
Octolens licenses its API and analytics dashboard to marketing or PR agencies as a white-label service. Agencies rebrand the tool for their clients, paying a flat fee or per-client usage, enabling them to offer sophisticated monitoring without developing in-house technology.
💬 Integration Tip
Always prompt users for their API key before making requests and store it securely for reuse. Use the bundled scripts for quick testing and familiarize yourself with filter syntax to handle complex queries efficiently.
Scored Apr 19, 2026
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