web-research

The web-research skill is a command-line interface designed to bridge the gap between local terminal environments and high-performance AI models equipped with real-time web search grounding. It allows developers, researchers, and power users to perform queries that require up-to-date information, fact-checking, or cross-referenced data using the Pollinations AI infrastructure. By leveraging models such as gemini-search and perplexity-fast, the tool ensures that answers are not merely generated from training data, but retrieved from the live web, significantly reducing hallucinations.

• Access multiple high-end search models including gemini-search, perplexity, and nomnom directly from your terminal.

• Supports parallel querying to compare insights from different models simultaneously, helping verify information across multiple AI providers.

• Fully compatible with the Pollinations unified API endpoint at gen.pollinations.ai.

• Built-in flexibility to choose specific search-enabled models or use the default optimized settings for quick lookups.

• Lightweight footprint requiring only standard Unix utilities like curl to execute queries, making it ideal for CI/CD pipelines and automated development workflows.

• Users must provide a valid POLLINATIONS_API_KEY as an environment variable or via a .env file to authorize requests.

• The script facilitates standard text-based prompts as inputs, returning the synthesized research findings in the terminal output.

• Ideal for use cases such as verifying technical documentation, checking current events, or conducting comparative analysis of AI reasoning across different models.

• Performance may vary based on network connectivity and the chosen model's latency profile; parallel queries consume more credits but offer higher data reliability.

• Ensure the environment has internet access and curl installed for the agent to successfully communicate with the Pollinations API endpoints.