> For the complete documentation index, see [llms.txt](https://aro-1.gitbook.io/aro/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aro-1.gitbook.io/aro/faq.md).
# FAQ
What are the preliminary results you're seeing with ARO?
ARO outperforms OpenAI models by 8.1% in cost-to-output-quality ratio, which is never seen before in the space.
ARO also outperforms GROK tweet categorisation speed (70.5%) and depth (33.33%) - going deeper into the history for answers, and labeling each tweet more accurately than the GROK itself thanks to specialized label and categorisation agents that handle only this task. This is important for crypto people working with sentiment-based decisions).
ARO by far even at this stage outperforms every crypto reasoning AI available.
What is ARO?
ARO, or the AI Research Orchestrator, is a coordination, routing and orchestration engine that uses AI, specialized tools, and real-time data processing to provide actionable insights. ARO is focused primarily for cryptocurrency and DeFi analytics but is adaptable to other industries.
Why is ARO important for the AI ecosystem?
ARO eliminates the complexity and cost of managing multiple LLM subscriptions by providing a **scalable, market-focused framework** that combines **the best features of each model** with powerful analytics tools. It’s a smarter, more efficient way to harness AI for actionable market insights.
ARO is important because it addresses critical challenges in today’s data-driven decision-making environments:
* **Fragmented Data Sources**: ARO consolidates diverse data streams (financial, social, and on-chain) into a unified framework, eliminating the inefficiencies of siloed analysis.
* **Precision Through AI**: By dynamically assigning tasks to the most suitable LLMs and tools, ARO ensures that insights are accurate, context-aware, and actionable.
* **Scalability and Adaptability**: Its modular architecture scales to handle complex tasks and can adapt to new domains, making it versatile for a wide range of industries.
* **Continuous Learning**: ARO’s self-learning capabilities and automated dataset creation allow it to refine and improve over time, ensuring that insights stay relevant in evolving markets.
* **Empowered Decision-Making**: With real-time insights, automated alerts, and holistic outputs, ARO enables users—from traders to enterprises—to make faster and more informed decisions.
How does ARO differ from other platforms?
ARO acts as a **central reasoning engine**, dynamically assigning tasks to the most suitable **LLMs** and leveraging their unique capabilities. It integrates **over 80 specialized tools** and **automated dataset creation** into a **unified, scalable framework**, combining data from **financial metrics**, **social sentiment**, and **on-chain analytics** to deliver precise, holistic insights.
What LLMs are used in the Multimodal Reasoning Layer?
ARO integrates a diverse array of advanced Large Language Models (LLMs), dynamically selecting the best option for each task. These include providers such as **OpenAI** (GPT-4o, GPT-o1), **DeepSeek** (DeepSeek-R1), **Anthropic** (Claude 3.5 Sonnet), **Gemini** (Gemini-2.0), **Grok (xAI)** (Grok-2), and **Qwen** (Qwen2.5). This robust ecosystem of models ensures ARO delivers precise, efficient, and task-specific performance for a wide range of applications.
What can ARO do?
* **Financial Analysis**: Monitor token prices, track market volatility, and identify key trading opportunities.
* **Social Media Scraping**: Analyze sentiment, track influencer (KOL) activity, and detect social trends.
* **On-Chain Data**: Examine transaction volumes, track wallet activity, and detect unusual blockchain events.
* **News Aggregation**: Gather and filter relevant market updates, ensuring you never miss critical information.
For a full breakdown of features, visit ARO’s [Orchestration Intelligence](/aro/aros-tech/orchestration-intelligence-layer.md) page.
What is the $ARO Buyback & Burn Mechanism?
ARO allocates 85% ecosystem earning funneled back to $ARO via Buyback & Burn mechanism. This reduces the circulating supply and aligns platform growth with token value. 10% is used for operating costs of scaling, expansion etc., and 5% is long term team's buy-and-vest (1yr) program. The team gets successful only if ARO is used and growing. This way we are commited to the project, keeping ARO useful and impactful for the crypto AI.
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