Methodology — E.A.T.I.T.

Data Source

The E.A.T.I.T. Document Index is derived from publicly available records released by the United States Department of Justice, specifically the corpus of documents commonly referred to as the "Epstein Files."

Our indexing system utilizes the Duggan Public Records API, an independent, non-commercial search interface that provides programmatic access to the full document corpus.

Search Algorithm

Name verification requests are processed using the following methodology:

Input Normalization

Subject names are normalized to remove special characters and standardize whitespace patterns.

Exact Phrase Matching

The normalized name is submitted as an exact phrase query (enclosed in quotation marks) to prevent false positive matches on partial name components.

Result Classification

If zero (0) documents contain the exact phrase, the subject is classified as CLEARED. Any non-zero result indicates presence in the archive.

Certificate Generation

For CLEARED subjects, a unique credential is generated with a tamper-evident ID and timestamp corresponding to the document index revision at time of verification.

Rate Limiting

To ensure system stability and prevent abuse, the E.A.T.I.T. verification system implements request throttling. During peak demand, requests are queued and processed in order of submission.

Technical Specifications

API Version	v1.0
Index Refresh	Daily at 00:00 UTC
Query Timeout	30 seconds
Certificate Format	PNG (1980×1400)

Limitations

The E.A.T.I.T. verification system has inherent limitations:

Only exact name matches are detected; aliases and misspellings may not be captured
Redacted portions of documents cannot be searched
New document releases may not be immediately indexed
Verification reflects index state at time of query, not historical states

Research Methodology