🎬 Multi-tool research agent for animal advocacy with OpenRouter, Serper & Open Paws DB
⚡ 1,128 views · 🎬 Content Creation & Video
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Description
This general-purpose sub-agent combines multiple research and automation tools to support high-impact decision-making for animal advocacy workflows. It’s designed to act as a reusable, modular unit within larger multi-agent systems—handling search, scraping, scoring, and domain-specific semantic lookup.
It powers many of the advanced workflows released by Open Paws and serves as a versatile backend utility agent.
🛠️ What It Does
- Performs real-time Google Search using Serper
- Scrapes and extracts page content using Jina AI and Scraping Dog
- Conducts semantic search over the Open Paws knowledge base
- Generates OpenAI embeddings for similarity search and analysis
- Routes search and content analysis through OpenRouter LLMs
- Connects with downstream tools like the Text Scoring Sub-Workflow to evaluate message performance
> 🧩 This agent is typically used as a sub-workflow in larger automations where agents need access to external tools or advocacy-specific knowledge.
🧠 Domain Focus: Animal Advocacy
The agent is pre-configured to interface with the Open Paws database—an open-source, animal advocacy-specific knowledge graph—and is optimized for content and research tasks relevant to farmed animal issues, corporate campaigns, and activist communication.
🔗 Integrated Tools and APIs
| Tool | Purpose |
|---|---|
| Serper API | Real-time Google Search queries |
| Jina AI | Web scraping and content extraction |
| Scraping Dog | Social media scraping where Jina is blocked |
| OpenAI API | Embedding generation for semantic search |
| OpenRouter | Proxy to multiple LLMs (e.g., GPT-4, Claude) |
| Open Paws DB | Advocacy-specific semantic knowledge base |
📦 Use Cases
- Create and evaluate online content (e.g. social media, emails, petitions) for predicted performance and advocacy alignment
- Act as a research and reasoning agent within multi-agent workflows
- Automate web and social media research for real-time campaign support
- Surface relevant facts or arguments from an advocacy-specific knowledge base
- Assist communications teams with message testing and content ideation
- Monitor search results and scrape pages to inform rapid response messaging
🔗 Nodes Used
Execute Workflow Trigger, AI Agent, Basic LLM Chain, Simple Memory, Call n8n Workflow Tool, Chat Trigger
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File