Overview
Real (Real-Time Bitcoin Data for AI) is a donation-driven project hosted on Giveth that aims to provide live, AI-ready Bitcoin market data streams for researchers, developers, and the broader crypto/AI community. The project emphasizes a fully transparent funding model: 100% of contributions go directly to the project with a stated zero-fee policy and no intermediary deductions. Real positions itself as an infrastructure resource for model training, backtesting, real-time analytics, and other AI workloads that require low-latency, high-quality Bitcoin data. The page highlights community-driven trust mechanisms (e.g., DeVouch) rather than centralized guarantees; it also cautions users that Giveth does not verify social links provided by projects. The project is framed primarily as a funding/operational pitch focused on transparency and peer-to-peer support rather than a detailed technical product spec.
Key Features
Real-time Bitcoin data feeds
Provides live Bitcoin market data streams intended for AI workloads, model training, and analytics.
Zero-fee donation model
States a policy where 100% of donations go to the project, promoting transparent funding.
Peer-to-peer funding via Giveth
Uses Giveth’s donation framework to accept contributions directly from supporters.
Community endorsement (DeVouch)
Encourages use of DeVouch, a community verification mechanism, to build trust and legitimacy.
AI-ready focus and use cases
Specifically positions the data for AI use cases such as forecasting, backtesting, and improving model accuracy.
Transparency and caution notices
The page explicitly notes Giveth does not verify social links and urges donor discretion.
Who Can Use This Tool?
- AI Developers:Integrate live Bitcoin market feeds for model training and real-time inference.
- Researchers:Use real-time or historical Bitcoin data for backtesting and financial research.
- Crypto Projects:Leverage transparent, donation-funded data streams for tooling and analytics.
- Donors / Community:Fund open data infrastructure through peer-to-peer donations and endorsements.
Pricing Plans
Pricing information is not available yet.
Pros & Cons
✓ Pros
- ✓100% donation flow: project states all contributions go directly to the project (zero-fee policy).
- ✓Focused on AI use cases: explicitly targets AI workloads, model training, backtesting, and real-time analytics.
- ✓Community trust tools: uses Giveth community signals like DeVouch to invite verification and endorsement.
- ✓Simple, transparent pitch: clear emphasis on peer-to-peer funding and transparency.
✗ Cons
- ✗Limited technical detail: the page does not provide specifics about API endpoints, data schema, latency guarantees, SLAs, or delivery methods.
- ✗No pricing or commercial plans: donors-only model may not clarify long-term sustainability or enterprise support.
- ✗Low external visibility: web searches returned no independent reviews or coverage, making objective assessment of data quality and reliability difficult.
