AIVY EDU aggregates public data from multiple authoritative sources — IPEDS, Common Data Set, College Scorecard, and more — into a unified, AI-queryable intelligence platform covering all Top 100 US universities across 20+ dimensions.
整合IPEDS、CDS、College Scorecard等多个权威公开数据源，覆盖全美Top 100院校、20+分析维度，构建可AI交互的统一数据智能平台。
All data is sourced from publicly available, government-mandated or institution-published datasets. We aggregate, clean, and cross-reference — we do not fabricate or speculate.
全部数据来源于政府法定公开数据集或院校自主发布的公开信息。我们负责聚合、清洗与交叉验证，不生成、不臆造数据。
US Department of Education's core higher education data system. We extract 7 core surveys covering enrollment, admissions, completions, tuition, financial aid, graduation rates, and institutional characteristics.
美国教育部核心高等教育数据系统。提取7大核心调查表，覆盖招生、录取、学位授予、学费、资助、毕业率和院校特征。
Standardized admissions statistics published directly by institutions — applications, admits, enrolls, yield rates, SAT/ACT score distributions. 78/99 original documents archived for auditability.
院校自主发布的标准化录取统计数据——申请、录取、入学人数、入学率、标化分数分布。存档78/99份原始文档，可审计追溯。
US Department of Education's outcomes database — median earnings 10 years post-entry, graduation debt, repayment rates, and earnings by family income tier. 62-field coverage per institution.
美国教育部毕业生成果数据库——入学10年后收入中位数、毕业负债、还款率、按家庭收入分层的收入数据。每校62字段覆盖。
Every dimension is backed by verifiable data sources. We present facts as they are — no embellishment, no speculation.
每项数据均可追溯至公开来源。我们如实呈现，不修饰、不推测。
Cross-reference CDS admissions data with IPEDS selectivity indicators to build a complete picture of each school's admission landscape — not just the headline acceptance rate.
College Scorecard data reveals long-term ROI — median earnings, debt levels, and repayment trajectories — so families can evaluate value beyond rankings.
Purpose-built for international applicants. Understand each school's international enrollment scale, support infrastructure, and community vibrancy before you apply.
A conversational AI layer sits atop our structured database — translating natural language into precise queries, aggregating cross-dimensional insights in real time. Every answer is traceable to its source.
以对话式AI为交互层，将自然语言转化为精确的数据查询，实时聚合跨维度洞察。每条回答均可溯源至原始数据。
Ask "Which Top 30 schools are Need-Blind for international students?" or "Compare CS programs at UC Berkeley and CMU" — the AI translates intent into SQL, fetches real data, and presents structured answers.
问"哪些Top 30对国际生Need-Blind"或"对比UC Berkeley和CMU的计算机项目"——AI将意图转为SQL，调取真实数据。
One query can simultaneously reference admissions selectivity, post-graduation earnings, international enrollment size, and campus safety — dimensions that live in separate tables are joined on the fly.
单次查询可同时涉及录取难度、毕业收入、国际生规模和校园安全——分散在各表中的数据实时联表。
SQL execution is sandboxed: read-only whitelist, 8-second timeout, 200-row limit. The AI never hallucinates data — it queries what exists or transparently reports gaps.
SQL执行沙箱化：只读白名单、8秒超时、200行上限。AI不臆造数据——查询实有数据或透明报告缺失。
AIVY EDU does not make predictions, does not guarantee outcomes, and does not replace professional educational counseling. It provides aggregated, transparent public data — so you can ask sharper questions and make better-informed choices.
AIVY EDU不预测结果、不承诺录取、不替代专业教育咨询。我们提供的是聚合后的透明公开数据——帮助你提出更精准的问题，做出更明智的选择。