AI summary Trust: low Forum scrape

This COA was extracted from a community forum / Discord channel. The original poster claimed a lab tested the vendor's product, but the lab's signature is NOT directly verifiable from this source — the image has passed through at least one re-share. The report indicates a blend of GHK-Cu, KPV, BPC-157, and Thymosin Beta-4, with a stated purity of 99.82% via HPLC + MS, tested on 2025-09-17. There is a chain-of-custody gap, and the lab named on the report is unknown.

Watch out for
  • chain-of-custody gap
  • unknown lab
  • no endotoxin test
Test date
2025-09-17
Purity
— 99.82%
Blend tests typically measure quantity per component, not purity. Purity assays for multi-peptide samples need separate chromatographic runs the standalone quantity report doesn't include.
Batch / lot
—
Lab
Unknown
Quantity
—
Qty vs label
—
Endotoxins
—
Test score
— Blend
Manufacturer
Jett[PHONE_REDACTED]
View vendor profile
Source

Forum / Discord scrape

⚠ Asserted only
No verifiable evidence captured. This entry was added to our corpus from Forum / Discord scrape. We did not save the certificate image, did not hash an artifact, and the upstream URL is either a domain root or absent — we cannot independently confirm this report existed. Treat as curator-asserted only.
Method
HPLC + MS
Catalogued
2026-04-17
OCR text

Raw extracted text

Extracted via OCR. Names, emails, phone numbers, and street addresses are auto-redacted before display. 

{
  "peptide": "GHK-Cu + KPV + BPC-157 + Thymosin Beta-4",
  "dose": "",
  "purity_pct": null,
  "purity_label": "99.82%",
  "method": "HPLC + MS",
  "test_date": "2025-09-17",
  "client": "Jett[PHONE_REDACTED]",
  "notes": "",
  "label_qty": "",
  "tested_qty": "",
  "quantity_deviation_pct": null,
  "is_blend": true,
  "components_json": "[{\"name\": \"GHK-Cu\", \"tested_mg\": 52.82, \"label_mg\": null}, {\"name\": \"KPV\", \"tested_mg\": 10.79, \"label_mg\": null}, {\"name\": \"BPC-157\", \"tested_mg\": 11.81, \"label_mg\": null}, {\"name\": \"Thymosin Beta-4\", \"tested_mg\": 13.4, \"label_mg\": null}]",
  "ocr_confidence": 1.0
}
This COA is part of TitrateLab's community-trust corpus. See more from Jett[PHONE_REDACTED] or learn how trust scores are computed on the methodology page. New to lab reports? How to read a COA →