About OpenLedger | Unlocking Liquidity for AI Data and Models
The project is a purpose-built AI blockchain network designed to unlock liquidity for data, models, and autonomous agents, addressing the broader industry's roughly $500 billion data problem where high-value datasets remain siloed and uncompensated. The platform's Proof of Attribution mechanism ensures every contribution to a dataset or AI model is traceable and verifiable, enabling fair reward distribution to data contributors through curated collaboration networks called Datanets.
The public sale ran December 23, 2024–February 22, 2025 on CoinList's testnet program at $0.10 per unit toward a $5.1 billion goal, reflecting the project's large token supply structure. It latest crypto IEO projects previously raised $8 million from backers including Polychain Capital and Borderless Capital, with additional support from HashKey — genuinely notable venture backing for AI-blockchain infrastructure.
Total supply is 1 billion OPEN. The token facilitates the monetization of data and AI models within the ecosystem, providing the economic foundation for deploying intelligent agents, with community allocation representing a substantial 51.7% of total tokenomics distribution according to project disclosures.
CoinList's established, KYC/AML-compliant testnet-to-mainnet sale structure gave the project distribution among a sophisticated global investor base, joining fellow CoinList-hosted sales like onchain UX wallet connectivity sale elsewhere in this dataset.
OpenLedger's September 2025 Binance listing, accompanied by trading volumes exceeding $800 million in the surrounding period and simultaneous listings on MEXC, Gate.io, and Kraken, reflected exceptional market interest in AI-blockchain infrastructure. Price performance nonetheless followed a substantial correction: OPEN reached an all-time high of $1.82-$1.85 shortly after its Binance listing before declining approximately 90-92% to current levels, consistent with post-listing profit-taking patterns common across major exchange debuts.
OPEN trades on Binance (most active pair OPEN/USDT), Gate, and Bitget, with genuine daily trading volume regularly between $8-18 million. Current pricing sits around $0.15-$0.28 depending on the snapshot, with market capitalization ranging from $32-61 million.
OpenLedger's partnership with Trust Wallet (200 million+ users) to launch an AI-native wallet interface enabling natural language DeFi commands, alongside a collaboration with Story Protocol on legal AI training data standards, represent genuine ongoing enterprise integration efforts positioning OPEN as infrastructure for AI-driven Web3 interactions beyond speculative trading alone.
Consider: a 90-92% decline from all-time high shows substantial post-listing volatility even for well-backed AI-infrastructure tokens; approximately 79% of total supply remained locked as of recent tracking, creating ongoing dilution risk as vesting schedules unlock; the AI-blockchain category broadly is highly sensitive to shifting "AI plus crypto" narrative sentiment rather than purely fundamental usage; and genuine Datanet contributor activity and AI model monetization volume should be independently verified beyond partnership announcements. Verify current Datanet activity and Trust Wallet integration status on the official official website, and cross-check pricing on CoinGecko data before allocating.
Proof of Attribution: OpenLedger's mechanism verifying and rewarding data/model contributions. Datanet: a curated, community-driven dataset collaboration network for AI training. AI liquidity layer: infrastructure transforming static data and models into tradeable on-chain assets. Data silo problem: the issue of valuable data being trapped in centralized systems without fair compensation. Token unlock: the scheduled release of previously locked tokens into circulating supply.
This page is for information and education only and is not investment, legal, or tax advice. AI-blockchain tokens with substantial locked supply carry ongoing dilution risk. Figures reflect public sources at the time of writing. Do your own research and consult a registered financial advisor before participating.