ZeqBallisticForensics

Evidence chain, audio/video authenticity, HF suite.

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

What it does

Forensic ballistics analysis. Bullet/casing comparison, trajectory reconstruction, gunshot residue pattern analysis with Zeqond-stamped evidence chain.

Signature

Request

POST /api/forensics/ballistic

Param	Type	Required	Default	Description
evidence	object	✓	—	Bullet/casing images and measurements.
analysis	string		"comparison"	'comparison', 'trajectory', 'gsr', 'distance'.

Response

{ matchScore, riflingCharacteristics, trajectory, gsrPattern, firingDistance_m, zeqond }

Runnable example

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

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/ballistic in a language SDK so builders can call it in three lines.
• Medium — publish a reference integration demonstrating ZeqBallisticForensics alongside a real workload, with pulse-aligned metrics.
• Far — propose ZeqBallisticForensics 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.