See what AI is really saying
Monitor AI. Detect change. Prove fairness.
Track what leading AI models say about brands, catch behavioral drift before it impacts your product, and demonstrate compliance with auditable bias testing.
Always current. Always comprehensive.
14 flagship models
GPT-4, GPT-4o, Claude Opus, Claude Sonnet, Gemini, Grok, and more
Daily collection
Fresh data every 24 hours across all monitored queries
Longitudinal tracking
Historical data enables trend analysis over weeks and months
See it in action
Ask AI a question right now and compare responses across models.
Brand Watch
LIVEKnow what AI recommends — and what it doesn't
Monitor brand mentions, sentiment, and competitive positioning across the AI models shaping purchase decisions.
How It Works
Define your landscape
Select brands and competitors across industry verticals
Generate monitoring queries
AI-powered query expansion creates comprehensive coverage
Collect daily responses
14 flagship LLMs respond to thousands of brand queries
Analyze positioning
Track sentiment, recommendation rates, and competitive dynamics over time
Methodology
Built on systematic query design and multi-model collection.
Brand queries are generated using template expansion to cover recommendation scenarios, comparison requests, and category searches. Responses are collected daily from 14 flagship models (GPT-4, GPT-4o, Claude Opus, Claude Sonnet, Gemini, Grok) and scored for brand mentions, sentiment polarity, and recommendation strength using LLM-as-judge evaluation.
Key Metrics
Features
Dashboard
Sentiment trends, model comparison, top brands by vertical
Verticals
Browse and manage industry categories
Query Builder
Create custom brand monitoring queries
Responses
Search and filter raw AI responses
Sample Insight
"GPT-4 recommends Figma 3.2x more often than Adobe XD in design tool queries, while Claude shows no significant preference between them."
Drift Watch
LIVECatch model changes before they break your product
Automated behavioral drift detection with alerting. Know when the models you depend on start behaving differently.
How It Works
Establish baselines
Probes run against all models to capture normal behavioral patterns
Monitor continuously
Same probes re-run on schedule to detect changes
Score deviation
Statistical comparison against rolling and initial baselines
Alert on drift
Get notified when models exceed threshold deviations
Methodology
Behavioral fingerprinting through systematic probe design.
Drift detection uses category-specific probes (factual recall, reasoning chains, refusal boundaries, instruction following, tone calibration, ambiguity handling, temporal awareness, code generation) run against consistent prompts over time. Drift scores are computed as standard deviations from rolling 30-day baselines, with alerts triggered at configurable thresholds. False discovery rate correction applied across multiple comparisons.
Key Metrics
Features
Dashboard
Drift scores by model and category, trend visualization
Behavioral Categories
Browse probe coverage across 8 dimensions
Probe Builder
Create custom behavioral probes
Alerts
View and manage drift notifications
Responses
Inspect raw probe responses over time
Sample Insight
"ChatGPT Search showed significant drift in the 'knowledge' category this week — responses to factual queries are 23% shorter than the 30-day baseline."
Compliance Watch
LIVEProve fairness with data regulators trust
Systematic demographic bias testing using matched-pair methodology. Audit-ready evidence for EU AI Act compliance and beyond.
How It Works
Generate test documents
Synthetic resumes, applications, and profiles with controlled demographic variations
Create matched pairs
Identical qualifications, only demographic markers differ
Collect AI evaluations
Models assess documents without knowing the test context
Measure differential impact
Statistical analysis reveals bias patterns across protected categories
Methodology
Gold-standard matched-pair experimental design.
Test documents are generated with systematic variation across demographic dimensions (gender, ethnicity) while holding qualifications constant. Differential Impact Ratio (DIR) measures the ratio of positive outcomes between demographic groups, with statistical significance assessed via chi-square tests and 95% confidence intervals. Sample sizes ensure adequate power to detect meaningful effect sizes. Methodology aligns with EEOC adverse impact guidelines and EU AI Act fairness requirements.
Key Metrics
Features
Dashboard
DIR scores by model and demographic group, significance indicators
Document Sets
Manage synthetic test document collections
Query Builder
Configure bias testing parameters
Responses
Inspect individual AI evaluations with demographic context
Sample Insight
"Claude Sonnet shows no statistically significant difference in resume rankings across gender (DIR: 0.98, p=0.73), while GPT-4 shows a 12% preference for male-coded names (DIR: 0.88, p<0.05)."
AI Forecast
BETASee where AI and prediction markets agree
Track what LLMs predict about real-world events and compare against market-derived probabilities.
How It Works
Select markets
Choose prediction market questions to track (elections, economics, events)
Extract AI stances
LLMs respond to structured queries about likelihood and reasoning
Compare to markets
Visualize where AI consensus differs from betting odds
Track accuracy
Brier scores measure calibration as events resolve
Methodology
Structured stance extraction with calibration scoring.
AI models respond to standardized probability elicitation prompts for each tracked market. Responses are parsed for numeric probability estimates and supporting reasoning. Accuracy is measured via Brier scores (mean squared error between predicted and actual outcomes) calculated as events resolve. Market data sourced from Kalshi API.
Key Metrics
Features
Dashboard
AI vs market probability comparison, accuracy leaderboard
Markets
Browse and select prediction markets to track
Accuracy
Historical Brier scores by model and category
Sample Insight
"On Fed rate decisions, Claude models have a Brier score of 0.18 (well-calibrated), while GPT-4 shows overconfidence at 0.31."
Compliance Dashboard
Model Comparison (DIR)
Demographic Breakdown
Bias by Query Topic
Model × Phrasing Heatmap
Recent Evaluations
| Time | Model | Gender | Ethnicity | Score | Response Preview |
|---|
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Fairness by Dimension
30-Day Trends
Demographic Breakdown
Score Distribution
Intersectional Analysis (Gender × Ethnicity)
Recent Evaluations
| Time | Gender | Ethnicity | Score | Response Preview |
|---|
Test Topics
| Name | Category | Template | Variables | Status | Actions |
|---|
Queries
| Query Text | Category | Topic | Priority | Status | Actions |
|---|
Responses
| Collected At | Model | Query | Response (preview) | Duplicate | Actions |
|---|
Document Sets
| Name | Type | Status | Documents | Seeds | Varies | Actions |
|---|
Generate Document Set
Define Generation Matrix
Demographic Dimensions
Estimated Output
Compliance Query Builder (LFB)
Create query sets for bias testing with matched-pair documents.
1. Select Document Set
2. Define Prompt Variants
3. Content Variables (Optional)
Define additional variables like {role}. The {document} placeholder will be auto-filled from the document set.
4. Preview & Generate
Branding Query Builder (LRB)
Create query sets for brand tracking and recommendation analysis.
1. Topic Information
2. Prompt Templates
Define prompt templates. Use {variable} placeholders for dynamic content.
3. Variables
Define variables for your template placeholders.
4. Preview & Generate
Admin Settings
Data Collection
Invite New User
Users
| Name | Role | Status | Last Login |
|---|
Get Started
Coming SoonPlanned Features
- Quick setup wizard
- Brand tracking setup
- Compliance testing setup
- Drift monitoring setup
- Instant first results
Collection Status
Detailed view of data collection status and scheduling.
Compliance Watch Responses
Browse and filter responses from bias testing queries.
Brand Watch Dashboard
Share of Voice Leaderboard
Sentiment Leaders
Top Brand by Vertical
| Vertical | Top Brand | Mentions | Rec Rate |
|---|
Mentions Over Time
Brand Watch Verticals
Browse and manage industry verticals being monitored.
Brand Watch Responses
Drift Watch Dashboard
Health Matrix
Active Alerts
Baseline Status
Behavioral Categories
The 8 behavioral categories being monitored for drift across all models.
Drift Probe Builder
Drift Alerts
Drift Watch Responses
AI Forecast Dashboard
Compare LLM consensus predictions with prediction market prices.
Active Forecasts
Recent Snapshots
Kalshi Markets
Browse and track prediction markets from Kalshi.
| Ticker | Title | Category | Yes Price | Status | Closes | Tracked | Actions |
|---|---|---|---|---|---|---|---|
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Forecast Accuracy
Compare AI prediction accuracy against Kalshi market prices.
Brier Score Comparison
Lower Brier score = better calibration (0 = perfect, 1 = worst)
Model Accuracy Rankings
| Rank | Model | Provider | Correct | Accuracy | Avg Brier |
|---|---|---|---|---|---|
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Resolution History
System Health Status
Detailed health check results for all system components.
Model Management
View and manage the LLM models being monitored across all providers.
Model Sync
| Provider | Model | Tier | Story Builder | Cost (per 1K) | Status | Last Checked | Actions |
|---|
User Management
Invite New User
Users
| Name | Role | Status | Last Login |
|---|
Topic Management
| Name | Category | Queries | Interval | Status | Actions |
|---|
Ask AI
What do you want to ask?
My Stories
Create New Story
Your Stories
Loading stories...
Story
Add a Question
Questions in this Story
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Data Acquisition
Collection Timeline
Provider Status (Last 24h)
Batch API Pipeline
Recent Model Activity
▼ ShowQueries by Topic
Brand Extraction Status
Deployment Windows
Topic Schedule
| Topic | Interval | Next Due | Status |
|---|
Cost Dashboard
Cost by Model
| Model | Provider | Responses | Input Tokens | Output Tokens | Input Cost | Output Cost | Total Cost |
|---|---|---|---|---|---|---|---|
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Cost by Category
| Category | Responses | Tokens | Cost | % of Total |
|---|---|---|---|---|
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Daily Cost Trend
Model Pricing
Manage API pricing for cost calculations. Costs are per 1 million tokens.
Current Pricing
| Model | Provider | Input $/1M | Output $/1M | Effective From | Notes | Actions |
|---|---|---|---|---|---|---|
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Admin Settings
Global Data Collection
Topic Management
| Name | Category | Interval | Status | Actions |
|---|
Data Catalog
Comprehensive inventory of LLM Tracker data assets
All Tables
Subscription Tiers
Manage subscription tier plans, pricing, and model access.
| Tier | Slug | Price/mo | Brands | Competitors | Custom Queries | Models | Clients | Actions |
|---|---|---|---|---|---|---|---|---|
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Client Management
Manage client workspaces, brand assignments, and tier allocations.
| User | Tier | Brands | Competitors | Custom Queries | Status | Actions |
|---|---|---|---|---|---|---|
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Terms of Service
Last Updated: January 28, 2026
1.1 Agreement to Terms
By accessing or using LLM Tracker ("Service," "Platform," "we," "us," or "our"), you ("User," "you," or "your") agree to be bound by these Terms of Service ("Terms"). If you are using the Service on behalf of an organization, you represent that you have authority to bind that organization to these Terms.
If you do not agree to these Terms, you may not access or use the Service.
1.2 Description of Service
LLM Tracker is a software-as-a-service platform that monitors, analyzes, and reports on the behavior of large language models (LLMs). The Service includes:
- Brand Watch: Monitoring of brand mentions and recommendations across AI models
- Drift Watch: Detection of behavioral changes in AI models over time
- Compliance Watch: Testing AI systems for demographic bias using matched-pair methodology
- Story Builder: Interactive querying of multiple AI models
- Data Catalog: Access to collected AI response data
The Service collects responses from third-party AI providers (including but not limited to OpenAI, Anthropic, Google, and xAI) and provides analysis of those responses. We do not operate or control the underlying AI models.
1.3 Eligibility
The Service is intended for business use. By using the Service, you represent that:
- You are at least 18 years of age
- You have the legal capacity to enter into binding agreements
- You are not prohibited from using the Service under applicable law
- If using on behalf of an organization, you have authority to bind that organization
1.4 Account Registration
To access certain features, you must create an account. You agree to:
- Provide accurate, current, and complete registration information
- Maintain and update your information to keep it accurate
- Maintain the security of your account credentials
- Accept responsibility for all activities under your account
- Notify us immediately of any unauthorized access
We reserve the right to suspend or terminate accounts that violate these Terms or that we reasonably believe pose a security risk.
1.5 Subscription and Payment
1.5.1 Plans and Pricing
The Service is offered under various subscription plans as described on our website. Pricing is subject to change with 30 days' notice to existing subscribers.
1.5.2 Billing
- Subscription fees are billed in advance on a monthly or annual basis
- All fees are non-refundable except as expressly stated herein or required by law
- You authorize us to charge your designated payment method for all applicable fees
1.5.3 Free Tier and Trials
We may offer free tiers or trial periods at our discretion. We reserve the right to modify or discontinue free offerings at any time.
1.5.4 Cancellation
You may cancel your subscription at any time through your account settings. Cancellation takes effect at the end of the current billing period. No refunds are provided for partial billing periods.
1.6 License Grant
Subject to your compliance with these Terms, we grant you a limited, non-exclusive, non-transferable, revocable license to access and use the Service for your internal business purposes.
You may not:
- Sublicense, sell, or redistribute the Service
- Modify, adapt, or create derivative works of the Service
- Reverse engineer, decompile, or disassemble the Service
- Remove any proprietary notices from the Service
- Use the Service to build a competing product
- Access the Service through automated means (bots, scrapers) except through our official API
- Share account credentials or allow unauthorized access
1.7 Intellectual Property
1.7.1 Our Intellectual Property
The Service, including its design, features, content, and underlying technology, is owned by us and protected by intellectual property laws. These Terms do not grant you any ownership rights in the Service.
1.7.2 Data Ownership
- Your Data: You retain ownership of any data you upload or input to the Service ("User Data")
- Platform Data: We own all data we collect from AI providers, aggregated analytics, and derived insights ("Platform Data")
- Analysis Results: Results generated by analyzing your queries against Platform Data are licensed to you for your use but remain our intellectual property
1.7.3 Feedback
If you provide feedback, suggestions, or ideas about the Service ("Feedback"), you grant us a perpetual, irrevocable, royalty-free license to use that Feedback for any purpose without obligation to you.
1.8 Data Processing
1.8.1 How We Collect AI Data
The Service collects responses from third-party AI models by:
- Submitting queries designed to elicit information about brands, behaviors, or topics
- Recording the AI model responses
- Analyzing patterns and trends across responses
1.8.2 Third-Party AI Providers
We access third-party AI models through their official APIs in accordance with their terms of service. We do not control these AI systems and are not responsible for their outputs.
1.8.3 No Personal Data in AI Queries
Our standard brand monitoring and drift detection queries do not contain personal data. Compliance Watch uses synthetic test documents with fictional demographic markers — no real individuals' data is processed.
1.9 Acceptable Use
You agree not to use the Service to:
- Violate any applicable law or regulation
- Infringe intellectual property rights of others
- Transmit malware, viruses, or harmful code
- Attempt to gain unauthorized access to our systems
- Interfere with or disrupt the Service
- Harass, abuse, or harm others
- Generate or distribute misleading information
- Engage in any activity that could damage our reputation or business
See our full Acceptable Use Policy for detailed guidelines.
1.10 Service Availability
1.10.1 Availability
We strive to maintain high availability but do not guarantee uninterrupted access. The Service may be temporarily unavailable due to:
- Scheduled maintenance (with reasonable advance notice when possible)
- Emergency maintenance
- Third-party service outages (including AI provider APIs)
- Circumstances beyond our reasonable control
1.10.2 Modifications
We may modify, suspend, or discontinue any aspect of the Service at any time. For material changes that negatively affect paid subscribers, we will provide 30 days' notice.
1.11 Disclaimer of Warranties
THE SERVICE IS PROVIDED "AS IS" AND "AS AVAILABLE" WITHOUT WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT.
We do not warrant that:
- The Service will meet your specific requirements
- The Service will be uninterrupted, timely, secure, or error-free
- Results obtained from the Service will be accurate or reliable
- AI model responses collected by the Service are accurate, complete, or current
AI model outputs may contain errors, biases, or inaccuracies. The Service provides monitoring and analysis tools — not guarantees about AI behavior.
1.12 Limitation of Liability
TO THE MAXIMUM EXTENT PERMITTED BY LAW:
- We are not liable for any indirect, incidental, special, consequential, or punitive damages, including loss of profits, data, or goodwill, arising from your use of the Service.
- Our total aggregate liability for any claims arising from these Terms or the Service shall not exceed the greater of: (a) the fees you paid to us in the 12 months preceding the claim, or (b) $100.
- We are not liable for actions or outputs of third-party AI providers whose models we monitor.
These limitations apply regardless of the legal theory (contract, tort, or otherwise) and even if we have been advised of the possibility of such damages.
Some jurisdictions do not allow limitation of liability for certain damages. In such jurisdictions, our liability is limited to the maximum extent permitted by law.
1.13 Indemnification
You agree to indemnify, defend, and hold harmless us and our officers, directors, employees, and agents from any claims, damages, losses, liabilities, and expenses (including reasonable attorneys' fees) arising from:
- Your use of the Service
- Your violation of these Terms
- Your violation of any third-party rights
- Any content you submit to the Service
1.14 Term and Termination
1.14.1 Term
These Terms are effective until terminated by either party.
1.14.2 Termination by You
You may terminate by canceling your account and ceasing use of the Service.
1.14.3 Termination by Us
We may terminate or suspend your access immediately, without notice, for:
- Violation of these Terms
- Conduct we reasonably believe is harmful to the Service or other users
- Extended inactivity
- Non-payment of fees
1.14.4 Effect of Termination
Upon termination:
- Your license to use the Service ends immediately
- We may delete your account and User Data after 30 days
- Provisions that by their nature should survive (including Sections 1.7, 1.11, 1.12, 1.13, and 1.16) will survive termination
1.15 Changes to Terms
We may update these Terms from time to time. Material changes will be communicated via email to your registered address, notice on the Service, or other reasonable means.
Continued use after changes take effect constitutes acceptance. If you disagree with changes, you must stop using the Service.
1.16 General Provisions
1.16.1 Governing Law
These Terms are governed by the laws of the State of Delaware, United States, without regard to conflict of law principles.
1.16.2 Dispute Resolution
Any dispute arising from these Terms or the Service shall be resolved through binding arbitration administered by the American Arbitration Association under its Commercial Arbitration Rules. Arbitration shall take place in Delaware. You waive any right to participate in class actions.
Opt-Out: You may opt out of arbitration by notifying us in writing within 30 days of first accepting these Terms.
1.16.3 Severability
If any provision of these Terms is found unenforceable, the remaining provisions continue in effect.
1.16.4 Waiver
Failure to enforce any provision does not constitute a waiver of that provision.
1.16.5 Entire Agreement
These Terms, together with our Privacy Policy and Acceptable Use Policy, constitute the entire agreement between you and us regarding the Service.
1.16.6 Assignment
You may not assign these Terms without our written consent. We may assign these Terms in connection with a merger, acquisition, or sale of assets.
1.16.7 Contact
Email: legal@llmtracker.com
Address: [Address to be added]
Privacy Policy
Last Updated: January 28, 2026
2.1 Introduction
This Privacy Policy explains how LLM Tracker ("we," "us," or "our") collects, uses, discloses, and protects information when you use our Service. We are committed to protecting your privacy and handling your data transparently.
By using the Service, you agree to the collection and use of information as described in this Privacy Policy.
2.2 Information We Collect
2.2.1 Information You Provide
Account Information:
- Name
- Email address
- Company name (optional)
- Password (stored in hashed form)
- Billing information (processed by our payment provider)
User Content:
- Custom queries you create
- Story Builder prompts you submit
- Feedback and support requests
2.2.2 Information Collected Automatically
Usage Data: Pages visited and features used, timestamps of activity, referring URLs.
Device and Technical Information: IP address, browser type and version, operating system, device identifiers.
Cookies and Similar Technologies: Session cookies for authentication, preference cookies for settings, analytics cookies (see Cookie Policy).
2.2.3 Information from Third Parties
If you sign in using a third-party provider, we receive basic profile information they share. Our payment processor provides transaction confirmation; we do not receive or store full payment card numbers.
2.2.4 Information We Do NOT Collect
- Social Security numbers
- Government-issued identification
- Biometric data
- Health or medical information
- Financial account numbers (beyond payment processing)
2.3 How We Use Information
Provide and Improve the Service: Create and manage your account, process transactions, deliver features, improve and optimize the Service, develop new features.
Communicate with You: Service-related notifications, support responses, product updates, marketing communications (with your consent).
Ensure Security and Compliance: Detect and prevent fraud, enforce our Terms of Service, comply with legal obligations.
Analytics and Research: Understand usage patterns, measure performance, conduct internal research.
2.4 Legal Bases for Processing (GDPR)
For users in the European Economic Area (EEA), UK, or Switzerland:
| Purpose | Legal Basis |
|---|---|
| Account management | Contract performance |
| Billing and payments | Contract performance |
| Service notifications | Legitimate interest |
| Security and fraud prevention | Legitimate interest |
| Marketing communications | Consent |
| Analytics | Legitimate interest |
| Legal compliance | Legal obligation |
2.5 How We Share Information
We do not sell your personal information. We share information only as follows:
2.5.1 Service Providers
| Provider Type | Purpose | Data Shared |
|---|---|---|
| Cloud hosting | Infrastructure | All Service data |
| Payment processing | Billing | Payment information |
| Email service | Communications | Email address, name |
| Analytics | Usage analysis | Anonymized usage data |
All service providers are contractually bound to protect your data and use it only for specified purposes.
2.5.2 Legal Requirements
We may disclose information if required by law, regulation, legal process, or governmental request, or to protect our rights, property, or safety.
2.5.3 Business Transfers
In connection with a merger, acquisition, or sale of assets, your information may be transferred. We will notify you of any change in ownership.
2.6 Data Retention
| Data Type | Retention Period |
|---|---|
| Account information | Duration of account + 30 days |
| Usage logs | 24 months |
| Billing records | 7 years (legal requirement) |
| Support correspondence | 3 years |
| Marketing preferences | Until withdrawn |
After account deletion, we remove or anonymize your data within 30 days, except where retention is required by law.
2.7 Data Security
Technical Measures: Encryption in transit (TLS 1.2+), encryption at rest (AES-256), secure password hashing, regular security assessments.
Organizational Measures: Access controls and authentication, employee security training, incident response procedures, vendor security assessments.
No system is 100% secure. While we take reasonable precautions, we cannot guarantee absolute security. You are responsible for maintaining the security of your account credentials.
2.8 Your Rights
2.8.1 All Users
- Access: Request a copy of your personal data
- Correction: Request correction of inaccurate data
- Deletion: Request deletion of your data
- Portability: Receive your data in a portable format
- Withdraw Consent: Withdraw consent for consent-based processing
2.8.2 California Residents (CCPA/CPRA)
California residents have additional rights including the Right to Know, Right to Delete, Right to Correct, and Right to Opt-Out. We do not sell or share personal information for cross-context behavioral advertising.
To exercise your rights, contact us at privacy@llmtracker.com.
2.8.3 EEA, UK, and Swiss Residents (GDPR)
Additional rights include Restrict Processing, Object to Processing, and Lodge a Complaint with your local data protection authority.
International Transfers: We transfer data to the United States. For EEA/UK transfers, we rely on Standard Contractual Clauses (SCCs) and the EU-US Data Privacy Framework.
2.9 Children's Privacy
The Service is not directed to children under 18. We do not knowingly collect personal information from children. If we learn we have collected information from a child, we will delete it promptly.
2.10 Changes to This Policy
We may update this Privacy Policy periodically. Material changes will be communicated via email or notice on the Service. Your continued use after changes take effect constitutes acceptance.
2.11 Contact Us
Email: privacy@llmtracker.com
Address: [Address to be added]
Response Time: We respond to requests within 30 days (or sooner as required by applicable law).
Acceptable Use Policy
Last Updated: January 28, 2026
3.1 Purpose
This Acceptable Use Policy ("AUP") sets forth rules for using LLM Tracker. Violation of this AUP may result in suspension or termination of your account.
3.2 Prohibited Uses
3.2.1 Illegal Activities
- Violate any applicable law, regulation, or government order
- Facilitate or promote illegal activities
- Infringe intellectual property rights of third parties
3.2.2 Harmful Content
- Distribute malware, viruses, or malicious code
- Conduct phishing or social engineering attacks
- Distribute spam or unsolicited communications
3.2.3 System Abuse
- Attempt to gain unauthorized access to the Service or related systems
- Interfere with or disrupt the Service's operation
- Circumvent security measures or access controls
- Use automated tools to access the Service except through our official API
- Exceed rate limits or engage in resource abuse
3.2.4 Misuse of Data
- Attempt to re-identify anonymized data
- Use data to discriminate against individuals or groups
- Scrape or harvest data for competing services
- Misrepresent the source or accuracy of data
3.2.5 Harmful Conduct
- Harass, threaten, or abuse others
- Impersonate any person or entity
- Interfere with other users' use of the Service
- Post defamatory, obscene, or offensive content
3.2.6 Competitive Misuse
- Use the Service to build a competing product
- Reverse engineer our methodology or algorithms
- Share confidential aspects of the Service with competitors
3.3 Compliance Watch Specific Rules
When using Compliance Watch:
- Only use synthetic test documents for bias testing
- Do not input real individuals' personal information
- Do not use results to make actual employment or credit decisions
- Understand that results are for research and monitoring purposes only
3.4 API Usage
If accessing the Service via API:
- Respect rate limits as documented
- Include proper attribution when displaying our data
- Do not resell API access
- Secure your API credentials
3.5 Reporting Violations
To report violations of this AUP: abuse@llmtracker.com
We investigate reports promptly and take appropriate action.
3.6 Enforcement
We may, at our sole discretion:
- Issue warnings
- Temporarily suspend access
- Permanently terminate accounts
- Report illegal activities to law enforcement
We are not obligated to monitor for violations but reserve the right to do so.