Venice AI
Private, uncensored AI inference platform with an OpenAI-compatible API used by agent builders.
Overview
Venice AI is a privacy-focused generative AI platform offering an OpenAI-compatible API that routes text, image, audio, video, and code prompts to a pool of GPU inference providers without persisting prompts or responses on Venice servers. It is used as an inference backend for agent builders, including integration with Virtuals Protocol's agent tooling on Base. Venice has a $VVV token (on Base) that functions as a staking-based access key to API inference capacity; the token is speculative and the privacy/no-log claims are self-reported, not independently audited.
Details
- Chains
- Base
- Agent types
- AI Inference
- Open source
- Partial
- Pricing
- Free tier and paid (Pro); API access via VVV staking or credits; per-token API pricing
- Last checked
- 2026-06-10
Marketplace Signals
- ▸ Open to tokenization
- ▸ Demo available
Verification status reflects evidence reviewed by Sato Hub. Self-reported claims are never presented as verified.
Recent Activity
All news →Releases and posts from Venice AI, pulled from its GitHub and X.
Introducing: Built in Venice Private, uncensored AI in the wild. SDKs, agents, on-chain experiments, dashboard
Introducing: Built in Venice Private, uncensored AI in the wild. SDKs, agents, on-chain experiments, dashboards, and more, all shipped by the Venice community.
Today, VVV emissions reduced from 5M to 4M tokens per year This is the second of three planned reductions: - M
Today, VVV emissions reduced from 5M to 4M tokens per year This is the second of three planned reductions: - May 1st: 6M → 5M - June 1st: 5M → 4M - July 1st: 4M → 3M Our goal is a net deflationary VVV with native yield, where burns exceed emissions https://t.co/Oxp73F48Dw
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