Token Listing Process

The processes and methodologies behind our token listing process

Tokenomist’s token coverage is curated with accuracy and transparency in mind. Every token goes through a clear process of criteria checks, data collection, and a final review before being published.

We use a combination of manual research, AI-driven analysis, and project collaboration to ensure the data we display is both reliable and up to date.

Listing Criteria

Before any token is considered for listing, it must meet a basic set of criteria:

  • Verifiable vesting or release schedules, in the form of publicly accessible official docs, announcements, or smart contracts, etc.

  • Sufficient market presence through exchange listings, liquidity, or established community.

  • Relevance to Tokenomist users, such as tokens with medium to high market cap or by user request

Additionally, listing priority is determined internally at the discretion of employees only. These criteria ensure we focus on tokens where supply and tokenomics data have real market impact.

Listing Methods

Below are the primary ways tokens are added to our platform:

Human Listings

Our data team manually verifies and adds new tokens on an ongoing basis. This involves a member of our team

  • Reviewing official project documentation (whitepapers, blog posts, governance forums).

  • Cross-referencing with on-chain data and trusted third-party sources.

  • In many cases, reaching out to confirm or request details from token project teams.

Manual listings are especially important for high-profile projects, where accuracy and transparency are critical. Each listing is triple-checked for accuracy, and only after approval is it published on the platform.

We aim to list tokens with verifiable references acquired from official sources that contain accurate, up to date tokenomics. A listing may be reconsidered if it contains vague or incomplete tokenomics, contradictory information, or provides vesting in a format that cannot be reliably extracted.

As part of our data policy, our data team will reach out to token projects before any big unlocks to reverify our release schedule with them. It is at the discretion of these projects to respond to our inquiries.

AI-Assisted Listings

AI is used to accelerate the discovery and structuring of tokenomics data, but it does not replace human review. Its role is to make the process more efficient and ensure no project with available information is overlooked.

AI tools help us surface and structure new data faster by

  • Scanning announcements and sources for vesting details.

  • Extracting allocations into a structured format.

  • Highlighting inconsistencies for human follow-up.

AI never lists tokens automatically. We validate the data, confirms details against official sources, and approves the token before it goes live. This ensures AI speeds up the process without compromising data quality or trustworthiness.

Tokens listed by AI will be labeled as such on their token pages.

Self-Listing (For Projects)

Projects can also self-list by submitting tokenomics and release data directly to Tokenomist. This ensures the most accurate and timely information is published.

When submitting, teams are asked to provide:

  • Detailed vesting schedules and allocation breakdowns.

  • Relevant wallet addresses for verification purposes.

  • Any supplementary documentation that supports the provided data.

Our data team then

  • Verifies the submission against publicly data (where possible).

  • Checks for clarity, consistency, and completeness.

  • Standardizes the information to align with Tokenomist’s frameworks.

Even though the data comes directly from projects, all self-submitted listings are audited by our data team before publication. If inconsistencies are found, our team will work with the project to resolve them before the listing goes live.

Tokenomist reserves full discretion over which projects are listed. We do not support or promote scam tokens, and any project failing to meet our standards for accuracy, legitimacy, or transparency will not be published.

Summary

Method
Data Source
Review Process
Who’s Involved

Criteria

Public docs, contracts, announcements

Checked against requirements and reviewed before live

Data Team

Manual

Researcher-collected (docs, forums, on-chain)

Drafted + peer-reviewed by another researcher

Data Team

AI-Assisted

AI parses announcements and structures data

Validated by researcher, compared to official sources

AI + Data Team

Self-Listing

Project teams submit tokenomics and wallets

Verified and approved by data team

Project Team + Data

Request a token

To request a token to be listed on our website, please head over to our official forum and submit a token request there!

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