How Tokenelligence Works
Tokenelligence is a research platform for Solana tokens. We combine live market data with hand-written research to produce a single comparable score for every project we cover. This page explains exactly what goes into that score, where the data comes from, and the limits of what we publish.
What is the Tokenelligence Score?
The Tokenelligence Score is a 0–100 rating that summarises a project's overall quality. A token's headline score is the weighted sum of its six factor scores — Fundamentals 25%, Adoption 20%, Safety 20%, Tokenomics 15%, Growth 10%, Ecosystem 10% — rounded to the nearest integer. A higher score means a stronger profile across fundamentals, usage, tokenomics, growth, ecosystem positioning, and risk.
Score corrections are logged publicly in the ratings feed.
How each factor is scored
Each factor is rated 0–100. Scores come from analyst review against the rubric below — not from a quantitative model. We re-score whenever material new information changes the picture.
How real and useful the project is — team, product, and traction.
Quality of team, product-market fit, revenue mechanics, and defensibility of the core thesis.
How many people and apps actually use it.
Active users, integrations, TVL/volume share, and depth of distribution within and beyond Solana.
Whether the token's supply and rewards help or hurt holders.
Supply schedule, unlock cliffs, sink/source balance, value accrual mechanics, and insider allocation.
How fast it's improving versus a year ago.
Trajectory of usage, revenue, and shipped product velocity; momentum vs. base rates.
How well it fits inside Solana and broader crypto.
Composability, integrations with core Solana primitives, and importance within the broader stack.
Higher means more protection; lower means more risk.
Inverted risk: higher = lower exposure to smart-contract, regulatory, liquidity, governance, and concentration risk.
Note: the Risk factor is inverted — a high Risk score means lower exposure to smart-contract, regulatory, liquidity, governance, or concentration risk.
Conviction Ratings
Conviction is a qualitative label that captures our overall stance:
- Strong Research Profile (stored as High Conviction) — strong research profile: durable thesis, manageable risk.
- Monitor — interesting profile, but unresolved questions or unlock overhang.
- Speculative — narrative-driven or early-stage; the research case rests on unproven assumptions.
- High Research Risk — high research risk: material unresolved concerns.
Research Status
Every project carries a status indicating how fresh and complete the research is:
- Reviewed — research is published and current.
- Needs Update — published, but not re-validated within the past week.
- Under Review — an analyst review of this project is currently open.
- Pending Review — no published rating yet.
Research Status describes workflow and freshness only. It is independent of the score, the risk band, and any evidence-confidence assessment.
What data is live vs. researched
- • USD price
- • 24-hour price change
- • Updated timestamp
Collected server-side from Birdeye on a scheduled cadence and stored as the canonical observation, with its own retrieval timestamp and freshness state. Where an observation is missing we show "Data unavailable" rather than an estimate.
- • Factor scores & overall Score
- • Conviction & Risk labels
- • Overview, Why It Matters, Bull/Bear cases
- • Risks, Catalysts, Competitor comparison
- • Tokenomics supply, distribution, emissions
- • Market cap and FDV reference values
Data sources
- Price, market cap, liquidity, supply & 24h volume: Birdeye is the canonical source. Values are collected server-side on a schedule and stored with provenance and freshness. Prices are cross-checked server-side against the Jupiter Price API — a validation source only, never published as the price; when the two differ by more than 3% we label the price as disputed rather than picking a winner.
- Protocol TVL: DefiLlama, only for projects where TVL is a meaningful metric.
- Tokenomics & supply: project documentation, on-chain mint data, and official disclosures.
- Adoption & usage: public dashboards (DeFiLlama, Dune, Artemis) cross-referenced with project reporting.
- Qualitative research: primary review of whitepapers, audits, governance forums, and team communications.
Update cadence
We aim to re-review each covered project at least every 14 days, and immediately after any material catalyst (audit, exploit, token unlock, major partnership, governance vote, or large price dislocation). Projects with a "Needs Update" badge have not been re-validated within the past week.
Limitations
- • Scores reflect analyst judgement and may differ from other research providers.
- • Market data depends on Birdeye coverage; thinly-traded tokens may show delayed or missing observations.
- • Past performance and current scores do not predict future returns.
- • We do not factor in trader sentiment, technical analysis, or short-term flows.
Tokenelligence is a research and education product. Nothing on this site is financial, investment, legal, or tax advice. Crypto assets are highly volatile and can lose value rapidly. Always do your own research and never invest more than you can afford to lose.