Vidgo AI
Vidgo AI - Unified Generative Media API Platform
Introduction:
Unified generative media API platform offering video, image, LLM, and 3D models with one API key and shared credits.
Vidgo AI Product Information
What is Vidgo AI ?
Vidgo AI is a developer-focused generative media API platform that unifies access to image, video, language, music, and 3D models through a single production endpoint. By consolidating multiple AI vendors into one integration layer, it removes the complexity of managing separate provider accounts, custom SDKs, and private GPU infrastructure. The platform executes tasks asynchronously via submit, poll, or webhook workflows, charging strictly for successful generations while billing zero credits for failures. With a continuously growing catalog that includes Google Veo 3.1, Seedance 2.5, Kling 3.0, Sora 2, Nano Banana, and frontier LLMs, Vidgo AI serves as a reliable, scalable foundation for building modern AI applications.
Vidgo AI's Core Features
Unified API gateway for video, image, LLM, music, and 3D models
Single API key integration across multiple AI providers
Shared credit balance across all catalog models
Zero billing for failed jobs (0 credits on error)
Asynchronous task execution with polling and webhook support
High-throughput capacity (20 submit requests per 10 seconds default)
Broad catalog featuring Veo 3.1, Seedance 2.5, Kling, Sora, and GPT models
Flexible payment methods including Stripe, WeChat Pay, and Cryptocurrency
Vidgo AI's Use Cases
#1
Integrating multimodal generative AI features into web and mobile applications
#2
Automating end-to-end media production workflows without maintaining GPU infrastructure
#3
Dynamically routing visual and text generation across different AI models via one backend
#4
Building commercial creative tools with consolidated usage tracking and billing
#5
Providing white-labeled generative media capabilities through API reselling
Vidgo AI's Pricing
Free Quota - Starter free credits granted to new accounts upon registration for integration and testing.
Pay-As-You-Go Credits - Shared credit pool billed per successful task across models, with failed jobs costing 0 credits.
Image API - Model-based pricing scaling by resolution (e.g., Nano Banana 2.1 from $0.020/image or 4 credits for 1K up to $0.050/image for 4K).
Video API - Duration-based or per-generation pricing (e.g., MiniMax from $0.025/second; Gemini Omni from $0.375/generation).
LLM API - Token-based usage with prompt caching (e.g., GPT and Claude models starting from $0.080 per 1M tokens).
Enterprise - Custom rate limits, dedicated technical support, volume billing discounts, and tailored SLAs.
FAQ from Vidgo AI
What is Vidgo AI?
- Vidgo AI is a generative media API platform that provides unified access to video, image, language (LLM), music, and 3D models through a single production API key and shared credit balance.
Are failed requests charged?
- No. Failed jobs are not billed. Credits are deducted only upon successful generations, ensuring zero cost for failed requests.
What is the API rate limit?
- The default rate limit is 20 submit requests per 10 seconds. Higher throughput limits can be configured upon request for production scale.
How does credit usage work?
- Vidgo AI uses a shared pay-as-you-go credit pool across all supported models, eliminating the need for separate accounts, subscriptions, or SDKs per provider.
How does asynchronous job execution work?
- Jobs execute asynchronously. Clients submit generation tasks and retrieve outputs either by polling the task endpoint or by receiving automated webhook notifications.
Can developers resell the Vidgo API?
- Yes. Reselling the API is permitted as long as implementations comply with platform terms and acceptable use policies.