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Aiide Review

Aiide is a platform that powers AI applications, manages digital assets, and connects various AI models through a unified API gateway.

shipped Aug 14, 2026codepaid
Monthly visits5/mo
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Aiide — product screenshot

Why it matters

1Offers a Pay-as-you-go pricing model at $0.00081 per 27 tokens.
2Provides real-time usage monitoring and multi-region deployment capabilities.
3Features an API with documentation available at https://aiide.apifox.cn/.
4Supports integrations with OpenAI, Claude, and Gemini models.

About Aiide

Business Model
Usage-Based (Pay Per Use)
Usage Pricing
$0.00081/27 tokens per token
Platforms
Web, API
Target Audience
Developers and enterprises looking to integrate AI services

Pricing Plans

Pay-as-you-go
$0.00081/27 tokens
  • Optimized network architecture
  • Comprehensive permission management
  • Multi-region deployment
  • Real-time analytics

Cost Examples

  • Generate 27 tokens: ~$0.00081
API DocsGitHubOpen Source

Specs

API Available

Yes, public API

overview

What is Aiide?

Aiide is an AI application platform developed by Electronyx Incorporated that enables developers and enterprises to build LLM Copilots, manage digital assets, and integrate various AI models through a unified API gateway. It offers a pragmatic framework for creating chatbots, handling message history, and implementing structured outputs functionality.

features

Key Features of Aiide

Aiide provides a comprehensive set of features designed to streamline the development and deployment of AI applications, focusing on operational efficiency and security.

  • Real-time usage monitoring for tracking application performance and resource consumption.
  • Multi-region deployment capabilities for enhanced availability and reduced latency.
  • Enterprise-grade security measures to protect data and AI models.
  • Unified API gateway for connecting diverse AI models and services.
  • Digital asset management for organizing and securing AI-related resources.
  • Support for building LLM Copilots and defining tools for large language models.
  • Functionality for handling message history in conversational AI applications.
  • Structured outputs functionality for consistent data formatting from AI models.

use cases

Who Should Use Aiide?

Aiide is primarily targeted at developers and engineers who are building and deploying AI applications, particularly those involving large language models and complex integrations.

  • Developers building LLM Copilots requiring a pragmatic framework for rapid development.
  • Engineers creating chatbots that need robust message history management and structured outputs.
  • Enterprises integrating multiple AI services and models through a single, secure API gateway.
  • Teams managing digital assets associated with AI applications, such as datasets and model versions.

how to use

How to Use Aiide

To begin using Aiide, developers can access its API to integrate AI services into their applications. The platform is designed for straightforward setup and deployment of AI functionalities.

  • 1Access the Aiide API via the provided documentation at https://aiide.apifox.cn/.
  • 2Utilize the open-source components available on GitHub at https://github.com/QuantumNous/new-api.
  • 3Configure integrations with supported AI models such as OpenAI, Claude, and Gemini.
  • 4Implement real-time usage monitoring to track application performance.
  • 5Deploy AI applications across multiple regions for global coverage and resilience.

pricing

Aiide Pricing & Plans

Aiide operates on a usage-based pricing model, allowing users to pay only for the resources consumed. This model is designed to be flexible for varying scales of AI application deployment.

  • Pay-as-you-go: $0.00081 per 27 tokens generated. For example, generating 27 tokens costs approximately $0.00081.

Pros

  • +Unified API gateway simplifies integration of multiple AI models (OpenAI, Claude, Gemini).
  • +Includes digital asset management for organizing AI-related resources.
  • +Offers real-time usage monitoring for operational insights.
  • +Supports multi-region deployment for enhanced availability and global coverage.
  • +Provides enterprise-grade security for AI applications and data.
  • +Features an open-source component, allowing for community contributions and transparency.

Cons

  • Specific user reviews and reception data are not widely available in public search results.
  • The pricing model is usage-based, which may lead to variable costs depending on application scale.
  • While offering a unified API, it may not provide the same depth of model-specific optimization as platforms dedicated to a single model provider.
  • The platform's focus on IoT/embedded fleets (as suggested by AidaIDE) might imply a niche focus that may not be immediately apparent for general AI application development.

Similar Tools

Aiide vs Competitors

Aiide differentiates itself in the AI platform market by offering a unified API gateway for diverse AI models alongside digital asset management, contrasting with competitors that often specialize in specific aspects of AI deployment or model serving.

1

It's an open-source framework for building and deploying AI applications, allowing users to package models and serve them as production-ready APIs.

BentoML provides the tools to build your own model serving infrastructure, offering high flexibility and control, but requires more setup and operational effort compared to Aiide's managed platform. It focuses on serving your own models rather than acting as a gateway to many external models by default.

2

Offers hosted solutions for deploying and accessing a vast library of pre-trained and fine-tuned AI models, with easy API access.

Hugging Face provides a managed environment primarily for models available on their platform or those you upload, offering less flexibility for custom infrastructure or complex multi-model orchestration compared to Aiide's broader API gateway concept for diverse AI models and digital assets.

3

Provides a unified API to access a wide range of large language models (LLMs) from various providers through a single endpoint.

OpenRouter focuses specifically on providing a unified API for *consuming* existing LLMs, which aligns with the 'unified API gateway' aspect for external models. However, it doesn't offer the same level of digital asset management or deployment of *your own* custom AI applications as Aiide.

4

A cloud platform designed for running Python code, including ML models, with simplified deployment, scaling, and API exposure.

Modal offers a powerful platform for deploying and running AI applications with easy API access, similar to Aiide, but its 'digital asset management' might be less explicit and more focused on code and environment management rather than a dedicated AI asset repository.

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