FalsifyLab vs TradeOS AI
55 fields both were evaluated on, 31 of them different — including where one discloses something the other does not. Every value links to the document it came from. 24 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | FalsifyLab | TradeOS AI |
|---|---|---|
| Audit trail· | no public information falsifylab.com · checked Aug 1, 2026 | “Connect market data, internal knowledge and decision policies through auditable agents workspace.”www.tradeos.xyz · checked Aug 1, 2026 |
| Explainability· | no public information falsifylab.com · checked Aug 1, 2026 | “Plug-and-play white-box AI reasoning layer for professional, explainable analysis with source lineage.”www.tradeos.xyz · checked Aug 1, 2026 |
| Runtime governance· | “They monitor market conditions against rules you define and report whether the current setup fits your trading plan.”www.tradeos.xyz · checked Aug 1, 2026 | |
| Permission scopes· | no public information www.tradeos.xyz · checked Aug 1, 2026 | |
| SLA terms· | no public information www.tradeos.xyz · checked Aug 1, 2026 |
Agency
| Field | FalsifyLab | TradeOS AI |
|---|---|---|
| Human oversight· | no public information falsifylab.com · checked Aug 1, 2026 | “The trading decision always stays with you.”www.tradeos.xyz · checked Aug 1, 2026 |
| Goal complexity· | no public information falsifylab.com · checked Aug 1, 2026 | “Turn fragmented chart, data, services and models into professional results that can trust.”www.tradeos.xyz · checked Aug 1, 2026 Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations |
| Action space· | no public information falsifylab.com · checked Aug 1, 2026 | “Build agents that analyze charts, track your thesis, and act on your rules 24/7 across markets”www.tradeos.xyz · checked Aug 1, 2026 |
| Operating environment· | no public information falsifylab.com · checked Aug 1, 2026 | “TradeOS is an AI trading workflow platform that turns your trading logic, technical analysis, and risk rules into AI agents that monitor stocks, forex, commodities, and crypto 24/7”www.tradeos.xyz · checked Aug 1, 2026 |
| Initiative· | no public information falsifylab.com · checked Aug 1, 2026 | “Build agents that analyze charts, track your thesis, and act on your rules 24/7 across markets”www.tradeos.xyz · checked Aug 1, 2026 |
Safety
| Field | FalsifyLab | TradeOS AI |
|---|---|---|
| Safety policy· | no public information falsifylab.com · checked Aug 1, 2026 | “No. TradeOS agents do not predict prices or guarantee profits. They monitor market conditions against rules you define and report whether the current setup fits your trading plan.”www.tradeos.xyz · checked Aug 1, 2026 |
| Usage restrictions· | no public information falsifylab.com · checked Aug 1, 2026 | “No. TradeOS agents do not predict prices or guarantee profits.”www.tradeos.xyz · checked Aug 1, 2026 |
| Model or system card· | no public information www.tradeos.xyz · checked Aug 1, 2026 | |
| Data handling· | no public information www.tradeos.xyz · checked Aug 1, 2026 |
Practicality
| Field | FalsifyLab | TradeOS AI |
|---|---|---|
| Pricing model· | ||
| Price point· | ||
| Availability· | “Try Beta Workspace for Technical & Charts Intelligence”www.tradeos.xyz · checked Aug 1, 2026 Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations | |
| Deployment options· | no public information www.tradeos.xyz · checked Aug 1, 2026 | |
| Integrations· | “13 live finance MCP tools for AI agents — 9 curated data feeds + confluence_today + 3 new (earnings drift / token unlocks / fed comm)”falsifylab.com · checked Aug 1, 2026 | “TradeOS integrates data from institutional-grade sources, including SIP feeds covering NBBO quotes across U.S. exchanges, liquidity providers, major crypto venues, and official macro sources like the Federal Reserve.”www.tradeos.xyz · checked Aug 1, 2026 |
| Support model· | no public information www.tradeos.xyz · checked Aug 1, 2026 |
Foundation models
| Field | FalsifyLab | TradeOS AI |
|---|---|---|
| Base models· | no public information falsifylab.com · checked Aug 1, 2026 | “TradeOS uses proprietary infrastructure and specialized language models to train your personalized trading engines.”www.tradeos.xyz · checked Aug 1, 2026 |
| Model provider· | no public information falsifylab.com · checked Aug 1, 2026 | “TradeOS uses proprietary infrastructure and specialized language models to train your personalized trading engines.”www.tradeos.xyz · checked Aug 1, 2026 |
| Fine-tuning· | no public information falsifylab.com · checked Aug 1, 2026 | “TradeOS uses proprietary infrastructure and specialized language models to train your personalized trading engines.”www.tradeos.xyz · checked Aug 1, 2026 |
| Context window· | no public information falsifylab.com · checked Aug 1, 2026 | “1 Billion Context Window for Deep Reasoning”www.tradeos.xyz · checked Aug 1, 2026 |
Ecosystem
| Field | FalsifyLab | TradeOS AI |
|---|---|---|
| Protocols supported· | no public information www.tradeos.xyz · checked Aug 1, 2026 | |
| Tool use· | “Turn technical patterns, signals, and data flows into actionable trading workflows that monitor thousands of assets at once”www.tradeos.xyz · checked Aug 1, 2026 | |
| Multi-agent· | no public information falsifylab.com · checked Aug 1, 2026 | “Backed by 2,087,924 Live Agents as of July 2026.”www.tradeos.xyz · checked Aug 1, 2026 |
| API access· | no public information www.tradeos.xyz · checked Aug 1, 2026 | |
| Open source· | no public information www.tradeos.xyz · checked Aug 1, 2026 |
Impact
| Field | FalsifyLab | TradeOS AI |
|---|---|---|
| User base· | no public information falsifylab.com · checked Aug 1, 2026 | “Backed by 2,087,924 Live Agents as of July 2026.”www.tradeos.xyz · checked Aug 1, 2026 |
| High-risk domains· | no public information falsifylab.com · checked Aug 1, 2026 | “TradeOS supports more than 13,000 assets across stocks, commodities, and forex”www.tradeos.xyz · checked Aug 1, 2026 |
Disclosed by neither
Both FalsifyLab and TradeOS AI publish nothing on these 24 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 24 identical table rows. Each is shown with its source check on the individual profiles.
- Autonomy level
- Deployment scale
- Target sectors
- Documented incidents
- Supported regions
- Model swappable
- Open weights
- Marketplace presence
- Safety evaluations
- Red teaming
- Incident reporting
- Third-party evaluations
- Insurance available
- Insurance carriers
- Coverage limits
- Indemnification
- Liability cap
- Tamper-evident log
- Compliance certifications
- Regulatory alignment
- Outcome-based pricing
- Settlement mechanism
- Dispute process
- Evaluation coverage