Propel for LLM Apps-ChatGPT powers product usage metrics API-Feature limitations-Detection of abusive behavior-ChatGPT Usage Metering API

5000+ Artificial Intelligence Tools for YouDiscover AI, Unleash Your Potential

English

Chinese

English

Home >

Code Tools >

Code Aids >

Propel for LLM Apps

4.5 Points

ChatGPT Usage Metering API

Front-end Engineer

Back-end Engineer

Test Engineer

Others

ChatGPT powers product usage metrics API

Feature limitations

Detection of abusive behavior

Overseas Service

Favorites

Open Website

Product Price

Compute$ 0.01-$0.25 per GB processed

Storage$ 2.50 per GB per month

Product Details

Product Introduction

The Usage Metering API for ChatGPT-powered Apps is an API for measuring usage of products powered by ChatGPT. It helps users quickly implement limiting functionality, detect abusive behavior, take action based on user feedback, and visualize usage insights for faster time to market.

Main Function

The Usage Metering API for ChatGPT-powered Apps offers the following key features: 1. Usage metering: The API allows easy tracking of usage metrics for ChatGPT-powered products, including usage count and duration. 2. Usage restrictions: It enables the ability to set usage limits based on the usage metrics to prevent abuse. 3. Abuse detection: By analyzing the usage metrics, potential abuse can be detected, allowing timely action to be taken. 4. Action based on user feedback: By utilizing the usage metrics and user feedback, prompt action can be taken to improve the user experience of ChatGPT-powered products. 5. Visualized usage insights: The usage metrics are presented in a visualized manner, helping users gain a better understanding of the usage patterns of ChatGPT-powered products, facilitating faster market entry.

How to Use

Using the Usage Metering API for ChatGPT-powered Apps is extremely simple. Just follow these five lines of code: 1. Import the API: import usage_metering_api 2. Initialize the API: usage_metering_api.init(api_key) 3. Record usage: usage_metering_api.record_usage(user_id, usage_type) 4. Retrieve usage data: usage_metering_api.get_usage_data(user_id) 5. Visualize usage insights: usage_metering_api.visualize_usage_data()

Propel for LLM Apps Traffic

35.50KMonthly Visits

39Similar Ranking

User Rating

What's Your Impression of Propel for LLM Apps

AI Recommendation

Amazon CodeWhisperer

Amazon CodeWhisperer - AI Assistant for Code Suggestions

Justification

Premium

Refiner

Refiner - Intelligent Code Improvement Tool

Justification

Premium

Quest AI

Quest AI - Figma to React Code Tool

Justification

Premium

Propel for LLM Apps Comparison

All resources on this platform are collected from the internet. The platform itself is not involved in content creation.For inquiries such as copyright infringement, report of illegal content, submissions, or business collaborations, please contact the administrator for prompt resolution.Contact Email: ai-apps@ieferry.com