Stop hunting for data.
Start finding answers.

AI-powered secondary data discovery for researchers who refuse to waste another week manually searching fragmented databases, paywalled journals, and scattered public datasets.

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The Problem

Secondary research consumes 40-60% of total research time

You know the data exists somewhere. An industry survey from 2023. A longitudinal study in the right geography. A government dataset with the exact variables you need.

But finding it means digging through dozens of databases, each with different interfaces, different taxonomies, different access models. Hours become days. Days become weeks.

01

Methodology-Aware Search

Filter by research design, sample characteristics, data collection method, and time period. Not keyword matching. Actual methodological understanding.

02

Cross-Source Discovery

Academic databases, industry surveys, government statistics, and live public data. One search across sources that normally require separate logins and separate expertise.

03

Data Quality Scoring

Every result scored on sample size, recency, methodology rigor, and relevance to your specific research question. No more wading through irrelevant results.

04

Instant Analysis

Preview datasets before committing. Get summary statistics, variable breakdowns, and citation-ready outputs in APA, Harvard, or Chicago format.

How It Works
1

Describe your research need

Enter a hypothesis, research question, or topic. Natural language, not boolean operators.

2

Set your parameters

Subject area, data source type, industry, geography, time period, methodology type. As broad or narrow as you need.

3

Review matched datasets

Ranked by relevance and quality. Preview data structure, sample details, and key variables before diving in.

4

Generate your report

Full analysis with visualizations, statistical summaries, and properly formatted citations. Ready for your paper or presentation.

Built by a researcher, for researchers.

DataTracer exists because finding secondary data shouldn't require more effort than analyzing it. The methodology expertise is yours. The search should be effortless.