Dataset Access Levels
Dataset access levels define how users interact with datasets published on the platform. As a data provider, you can configure access restrictions to ensure compliance, protect sensitive ecommerce data, and maintain full traceability of user activity. Access levels allow you to control:- Whether users must accept Terms and Conditions
- Whether users must submit additional information
- Whether identity verification is required
- Whether provider approval is required before access
- How dataset usage is logged and audited
Overview of Access Levels
| Level | Name | User Confirmation | Additional Info Required | Email Verification | Provider Approval |
|---|---|---|---|---|---|
| 1 | Passive Terms | No | No | No | No |
| 2 | Explicit Acceptance | Yes | No | No | No |
| 3 | Acceptance + Provider Information | Yes | Yes | No | No |
| 4 | Acceptance + Information + Verified Email | Yes | Yes | Yes | No |
| 5 | Controlled Access (Request & Approval) | Yes | Optional | Optional | Yes |
Level 1 – Passive Terms and Implicit Agreement (Default)
Level 1 is the default access configuration for newly created datasets.How it works
Each dataset includes:- Provider-defined Terms and Conditions
- A dataset-specific contract
- Users are not required to actively accept the terms
- Access to the dataset is immediate
- No additional user input is required
When to use Level 1
Level 1 is appropriate for:- Public ecommerce datasets
- Open analytics dashboards
- Non-sensitive product or catalog data
- Freely accessible benchmark datasets
Level 2 – Explicit Acceptance Required
Level 2 introduces mandatory user acknowledgment before access is granted.How it works
Before accessing the dataset, users must:- Review the Terms and Conditions
- Explicitly confirm acceptance (e.g., checkbox confirmation)
- Submit an access request
When to use Level 2
Level 2 is recommended for:- Licensed ecommerce datasets
- Internal company datasets
- Data requiring legal acknowledgment
- Usage-restricted analytical reports
Level 3 – Explicit Acceptance + Provider Information
Level 3 builds on Level 2 by requiring users to submit additional information defined by the data provider.How it works
To gain access, users must:- Accept the Terms and Conditions
- Complete a provider-defined information form
- Submit the request
Provider-Defined Information May Include:
- Organization or affiliation
- Job title or role
- Intended use of data
- Business use case
- Research purpose
- Funding source
- Geographic region of use
- Any structured compliance declaration
Why use Level 3?
Level 3 is suitable when:- Dataset usage must be tracked by organization
- Commercial ecommerce insights require usage transparency
- Regulatory reporting is required
- You need contextual information about how the data will be used
Level 4 – Acceptance + Provider Information + Verified Email
Level 4 adds identity verification on top of Level 3 requirements.How it works
Users must complete three steps:- Accept Terms and Conditions
- Submit provider-required information
- Verify their email address via OTP (One-Time Password)
Why email verification matters
Email verification ensures:- Valid and traceable user identity
- Reduced fraudulent access
- Stronger compliance enforcement
- Reliable communication channel for audits or updates
When to use Level 4
Recommended for:- Commercial ecommerce transaction datasets
- Customer-level anonymized analytics
- High-value business intelligence data
- Partner-only shared datasets
Level 5 – Controlled Access (Request and Approval)
Level 5 is the most restrictive access configuration and provides full provider control.How it works
Users must:- Accept Terms and Conditions
- Submit required information (if configured)
- Complete email verification (if configured)
- Submit an access request
When to use Level 5
Level 5 is recommended for:- Sensitive ecommerce transaction data
- Confidential business intelligence reports
- Commercially licensed datasets
- Regulatory-restricted datasets
- Private research collaborations
Audit and Compliance
For all access levels:- All acceptance actions are logged
- Access timestamps are recorded
- Approval decisions (if applicable) are tracked
- User-submitted information is stored securely
- Email verification status is logged
- Compliance audits
- Legal traceability
- Internal governance policies
- Regulatory reporting requirements
Best Practices for Data Providers
- Use Level 1 for open datasets.
- Use Level 2 when legal acknowledgment is required.
- Use Level 3 to collect contextual usage information.
- Use Level 4 for identity-sensitive ecommerce data.
- Use Level 5 for confidential or commercial datasets.
Related Documentation
- Refer to the Entity Access documentation to learn how to grant access to specific users or teams.
- Refer to the Public Access documentation to understand dataset publishing workflows.
- See Request Info Section to configure custom information forms for Level 3–5 datasets.
- See Terms and Conditions Management and Terms and Conditions History to manage legal documents and track revisions.