ZeqDocumentForensics

Evidence chain, audio/video authenticity, HF suite.

• Protocol ID — zeq-document-forensics
• Category — Forensics
• Endpoint — POST /api/forensics/document
• Auth — api-key
• Rate limit — 10/min
• Version — 1.287.0
• Precision — ≤0.1% (KO42-enforced)

What it does

Questioned document examination. Handwriting analysis, ink dating, paper fiber identification, alteration detection with R(t) spectral ink aging curves.

Signature

Request

POST /api/forensics/document

Param	Type	Required	Default	Description
documentImage	object	✓	—	High-resolution document scan.
analysis	string		"handwriting"	'handwriting', 'ink-dating', 'alteration', 'paper'.
reference	object		—	Known writing samples for comparison.

Response

{ findings, confidence, inkAge_estimate, alterations, writerMatch, zeqond }

Runnable example

curl -sS -X POST \
  -H "Authorization: Bearer $ZEQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "documentImage": {},
  "analysis": "handwriting",
  "reference": {}
}' \
  "https://api.zeq.dev/api/forensics/document"

Integrate

1. Domain solver — compose with KO42 + two additional operators from the matching family for pulse-coherent results.
2. Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
3. Alert threshold — flag results whose error_pct exceeds 0.1% as out-of-spec events for the operations layer.

Seeds

• Near — wrap /api/forensics/document in a language SDK so builders can call it in three lines.
• Medium — publish a reference integration demonstrating ZeqDocumentForensics alongside a real workload, with pulse-aligned metrics.
• Far — propose ZeqDocumentForensics as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers

• Zeq paper — https://doi.org/10.5281/zenodo.18158152
• Framework paper — https://doi.org/10.5281/zenodo.15825138

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.