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Description
Lenz is a robust API designed for audit-level fact-checking of AI-generated content, aimed at teams that require verification of factual assertions prior to presentation to clients or customers. This tool analyzes various forms of text, such as drafts, memos, or model answers, identifying factual claims that can be substantiated by credible public sources and providing a detailed outcome for each assertion. Its operational framework is built upon four key API functions: extracting claims that can be verified, performing a rapid multi-model assessment of these claims in bulk, elevating ambiguous statements to a comprehensive verification process, and facilitating follow-up inquiries that are based on the verification findings. The complete verification process is structured into five distinct stages: defining the issue, conducting research, engaging in debate, undergoing a panel review, and reaching a conclusion. Lenz meticulously searches through public information, evaluating evidence based on factors like authority, relevance, and timeliness, while also employing models from various vendors to present arguments for both sides of a claim. Ultimately, it delivers a verdict, a confidence score, references to cited sources, and a trace of the reasoning that allows users to conduct their own audits, ensuring transparency and reliability. With Lenz, teams can enhance their decision-making processes by ensuring all claims are thoroughly vetted before they reach their audience.
Description
You just emailed a proposal or pitch deck. Did the decision-maker actually read it, and when should you follow up? PDFTrackr answers both.
Any PDF becomes a secure tracked link reporting who opened it, the time spent on each page and the page where reading stopped. Email scanners, link-preview bots and crawlers are classified and excluded from the counts, and the tool shows what it excluded, so no follow-up is spent on a mail server.
Signals then flag who returned for a second look and who merits a call, a per-recipient verdict states whether one named person read the file, and alerts arrive on first open and on return with an emailed Reading Report.
Access is set per person: allow lists, block lists and six-digit email verification, plus passwords, expiry, download control, watermarking and virus scanning.
Free: 500MB, 50 files, full analytics, 12-month history, no card. Pro: $9/month or $84/year, free for 14 days on every new account.
API Access
Has API
API Access
Has API
Integrations
ChatGPT
Claude
Claude Code
Cursor
Model Context Protocol (MCP)
WhatsApp
Zapier
n8n
Integrations
ChatGPT
Claude
Claude Code
Cursor
Model Context Protocol (MCP)
WhatsApp
Zapier
n8n
Pricing Details
$7.99 per month
Free Trial
Free Version
Pricing Details
Free
Free: $0 - 500MB storage, 50 files, 50 share links, 50MB/file, full page-by-page analytics, 12-month history, no credit card. Pro: $9/month or $84/year - 10GB, 500 files, unlimited links, 250MB/file, 24-month history, Signals, per-recipient verdicts, open and return-visit alerts, Reading Reports, allow/block lists, verified viewer email, CSV export, bulk personalized links, watermarking, folders, versioning. Every new account includes 14 days of Pro free, no card; when it ends the account moves to the free plan instead of losing access.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Lenz
Founded
2026
Country
Bulgaria
Website
lenz.io
Vendor Details
Company Name
PDFTrackr
Founded
2025
Country
Poland
Website
pdftrackr.com
Product Features
Product Features
Annotations
Convert to PDF
Digital Signature
Encryption
Merge / Append
PDF Reader
Watermarking