Understanding Claygent Argon's Data on Power Purchase Agreements (PPAs)

The available documentation mentions Customer Data Platform (CDP) as a system that centralizes customer data from all sources to create unified customer profiles. [1] However, this doesn't provide specific details about how Claygent Argon sources Power Purchase Agreement data or accesses premium reports.

For detailed information about Claygent Argon's data sourcing methods and access to specialized reports like CDP reports for PPA research, have you tried using Sculptor? It's our built-in AI tool available in the top-right corner that can help generate workflows and provide specific guidance about Claygent capabilities.

What specific type of PPA data are you trying to research, and have you noticed any patterns in where Claygent is finding this information?

I already did the research, I'm just wondering how Clay is getting this information to verify its accuracy

Claygent uses AI research agents to analyze websites, social media profiles, and other unstructured data sources to find custom data points. [1] Our agents can summarize web pages, look for certifications, and analyze financial documents among other research tasks.

For specialized data like PPA information, Claygent performs "last-mile" discovery by accessing publicly available sources that aren't typically automated by other tools. [2] This gives you access to highly specific, contextual information that competitors often miss.

The accuracy comes from Claygent's ability to cross-reference multiple sources and extract relevant data points from documents and websites that may require manual verification through the original sources.

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Crosby T. It might have been a classic case of AI hallucinating and coming up with information. A simple things to fix that could be:

And also, I might skip using Argon and use something like 4o or 4o mini or something! Haven't had the best experience with Argon.

You're right about AI hallucination being a concern. Claygent does analyze websites and unstructured data sources to find custom data points, but it doesn't automatically provide source URLs in its output. [1]

For your PPA research, you have several model options beyond Argon:

To get source verification, try using Sculptor (our built-in AI tool in the top-right corner) to help structure prompts that specifically request source URLs alongside the data. You could also test different models to see which gives more verifiable results for your specific PPA research needs. [3]

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If you still need help understanding how Claygent sources and verifies data, I’m here to assist. Would you like to share more about what specific details or verification methods you’re trying to explore?