About TopicTrace
Hi, I'm the creator of TopicTrace
Building time-indexed topic summaries from large-scale web coverage
TopicTrace started as a simple question: what if you could explore a topic the way it actually unfolds over time—day by day—without relying on a handful of links? Most tools either show isolated articles or generate one-off summaries. I wanted something continuous: structured timelines that capture how a topic evolves across weeks, months, and years.
What is TopicTrace?
TopicTrace is a topic-tracking dataset and API that turns large-scale web coverage into time-indexed summaries and source-backed evidence. For each topic, summaries are available across daily, weekly, monthly, quarterly, and yearly views—making it easier to run trend analysis, correlate events with other data (like markets), and explore a topic's history with far more context than a typical one-off search.
Key Features
Time-Indexed Summaries
Daily → yearly summaries per topic, designed for exploring how narratives evolve over time.
Built From Large-Scale Coverage
Summaries are derived from large volumes of web sources—providing richer context than one-off retrieval.
Keyword-to-Source Mapping
Connect summaries to extracted keywords and trace each keyword back to supporting URLs.
Who is TopicTrace for?
TopicTrace is built for developers, researchers, students, and analysts who want structured topic timelines for trend analysis, correlation studies, and deep topic exploration. A chatbot experience is planned to make this accessible to non-technical users as well.
Get in Touch
📬 Have questions or feedback?
Reach out for API access, feature requests, bug reports, or to request historical backfills for specific topics and time ranges.
⚠️ Disclaimer
The content on this site is generated using AI (Large Language Models) and may contain errors or omissions. TopicTrace includes source URLs to support validation, but you should independently verify critical information before making decisions.