How to Bridge GPT’s Gap in Analytics?

OneAgent's analytics capabilities extend far beyond GPTs, offering a unique feature set designed for comprehensive customer interaction analysis. This includes Conversation Impact Analytics, which tracks user queries, agent responses, and the overall impact. It employs AI-powered, intent-centric analytics to analyze common and trending questions, topics, and issues. This feature dynamically clusters interactions based on user intent, providing an overview of customer inquiries. This helps in optimizing the agent for common questions and improving responses where gaps exist. This detailed analytics approach is invaluable for businesses, particularly for eCommerce and SaaS platforms, allowing for data-driven optimization of customer engagement strategies.

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VoC Analytics

Utilize OneAgent's analytics for key insights into customer behavior, optimizing your content and marketing strategies.

import oneai oneai.api_key = "CLICK_TO_GET_YOUR_API_KEY" pipeline = oneai.Pipeline(steps=[ oneai.skills.Agent(), ]) output = pipeline.run("your_input_here") print(output)

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import OneAI from 'oneai'; const oneai = new OneAI({apiKey: 'CLICK_TO_GET_YOUR_API_KEY'}); const pipeline = new oneai.Pipeline( oneai.skills.(), ); const output = await pipeline.run('your_input_here'); console.log(output);

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curl -X POST \ 'https://api.oneai.com/api/v0/pipeline' \ -H 'accept: application/json' \ -H 'Content-Type: application/json' \ -H 'api-key: CLICK_TO_GET_YOUR_API_KEY' \ -d '{ "input": "your_input_here", "steps": [{ "skill": "Agent" }] }'

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