How do their growth rates compare?

Offset has a month-over-month growth rate of -89.5%; TradesViz has -7.7%.

How does pricing compare?

Offset: Contact for Pricing. No public price list. The site offers no self-serve pricing page, so commercial terms are arranged directly with the vendor; legacy placement was Free Trial / Paid / Contact for Pricing. Expect seat- or enterprise-based contracts, especially for on-premise or audit-heavy deployments. TradesViz: Freemium. Freemium with a 7-day free trial on paid plans. Basic is free forever (3,000 executions/month, one account, stock only, plus the free Daily Drill simulator). Pro is US$19.99/month or about US$10.49/month billed annually (unlimited imports, all asset types, up to 10 accounts). Platinum is US$29.99/month or about US$15.74/month billed annually (20 accounts, real-time screener, options flow, options backtester, universal simulator, exit analysis). Promotional bundle savings apply on annual plans.

What are alternatives to Offset and TradesViz?

Other tools in related categories include Perplexity, Syft Analytics, LuxAlgo, Danelfin, Cool Table ChatExcel.

Offset vs TradesViz — Traffic (57 vs 226.55K), Pricing & Verdict

Open AI Tools

Offset vs TradesViz — Traffic (57 vs 226.55K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Offset	TradesViz
Official Domain	offset.app	tradesviz.com
Pricing Model	Contact for Pricing	Freemium
Monthly Visits	57 (57)	226.55K (226,547)
MoM Traffic Delta	-486 (-89.5%)	-18.82K (-7.7%)
Primary Market & Share	🇮🇳 India (100%)	🇺🇸 United States (48%)
Direct Visits / mo	22	140.4K
User Rating	4	4.6
Supported Platforms	Website	Website

Offset

Execution-grade AI agents that work inside your live financial models

In-model spreadsheet execution

Offset edits assumptions, restructures sheets and completes analytical workflows inside the file itself, so the model stays the single source of truth.

Logic validation and auditing

The system checks formula chains and flags broken references or inconsistent logic before output reaches a reviewer.

Structured ingestion of filings

Filings and other reference data are parsed into structured inputs so models can be refreshed without manual copy-paste work.

Reinforcement learning from institutional workflows

Behavior is trained on how real finance teams operate, which pushes results toward conventions reviewers already trust.