BANKR Score 0.10.2
BANKR Score Breakdown
Everything you need to know about your BANKR Score.
BANKR Score Categories
Your BANKR Score combines ten categories into one overall score. Each category measures a different type of activity or participation and contributes a portion of your total.
💵 BNKR 🚀 Deployer 💪 Builder 🌐 Ecosystem 📣 Social 📈 PnL 🤝 Referral 🤖 LLM Gateway 🖼️ NFTs 👑 OG
How each category affects your total
RawYour amount or activity in the category.
TopThe highest raw value used for that category.
ScoreYour normalized result from 0 to 1.
ContributionYour score x the category weight.
total score = BNKR contribution + Deployer contribution + Builder contribution + ...
Category weights
💵 BNKR29.3333%
🚀 Deployer15.5556%
💪 Builder15.5556%
🌐 Ecosystem8.0000%
📣 Social10.2222%
📈 PnL6.2222%
🤝 Referral5.3333%
🤖 LLM Gateway4.4444%
🖼️ NFTs3.5556%
👑 OG1.7778%
How the percentages were derived
The categories start with simple point values totaling 112.5 points. Each point value is divided by 112.5 to produce its final share of the 100% score.
💵 BNKR
33 ÷ 112.5 = 29.3333%
🚀 Deployer
17.5 ÷ 112.5 = 15.5556%
💪 Builder
17.5 ÷ 112.5 = 15.5556%
🌐 Ecosystem
9 ÷ 112.5 = 8.0000%
📣 Social
11.5 ÷ 112.5 = 10.2222%
📈 PnL
7 ÷ 112.5 = 6.2222%
🤝 Referral
6 ÷ 112.5 = 5.3333%
🤖 LLM Gateway
5 ÷ 112.5 = 4.4444%
🖼️ NFTs
4 ÷ 112.5 = 3.5556%
👑 OG
2 ÷ 112.5 = 1.7778%
Total
112.5 ÷ 112.5 = 100%
Example: BNKR begins with 33 of the 112.5 total points, so its final maximum contribution is 29.3333% of the total score.
How category scores are calculated
BANKR categories do not all use the same scoring method. Your raw value is converted into a normalized category score using one of three methods: linear, cube-root, or logarithmic.
Linear scoring gives users a score directly proportional to the top user. Cube-root scoring rewards early activity and applies diminishing returns as raw values increase. Logarithmic scoring also rewards early activity, but uses logarithmic compression rather than a power curve.
contribution = category score × category weight
Linear categories
Your raw value is compared directly with the top value. Holding half as much as the top user gives you half of the category score.
score = raw ÷ top
- 💵 BNKR
- 🌐 Ecosystem
- 📣 Social
- 📈 PnL
- 🤝 Referral
- 🖼️ NFTs
- 👑 OG
NFT example
top
29 NFTs
raw
7 NFTs
score
7 ÷ 29 = 0.2414
weight
0.035556
contribution
0.2414 × 0.035556 = 0.0086
This adds approximately 0.0086 to the total BANKR Score.
Cube-root categories
Your raw value is compared with the top value, then the cube root of that percentage is taken. This rewards early activity and compresses large differences between users. Smaller raw values can still receive a meaningful category score, while each additional unit provides diminishing returns.
score = (raw ÷ top)1/3
- 🚀 Deployer
- 💪 Builder
Deployer example
top
59,746.27
raw
148.83
raw share
148.83 ÷ 59,746.27 = 0.00249
score
0.002491/3 = 0.1356
weight
0.155556
contribution
0.1356 × 0.155556 = 0.0211
Although the user has only about 0.25% of the top Deployer raw value, the cube-root curve produces a category score of approximately 13.56%.
Logarithmic categories
Early activity has a larger impact. As your raw value grows, each additional amount adds slightly less to the category score through logarithmic compression.
score = ln(1 + raw) ÷ ln(1 + top)
- 🤖 LLM Gateway
LLM Gateway example
top
1,000
raw
50
score
ln(51) ÷ ln(1,001) = 0.5695
weight
0.044444
contribution
0.5695 × 0.044444 = 0.0253
The logarithmic formula rewards early LLM Gateway activity while compressing the gap to much larger raw values.
Remember: projections assume the category top stays the same. If the top changes, the projected score changes too.
Disclaimer: Data is queried directly from public APIs and may contain errors or inconsistencies. Projected scores and ranks are modeled estimates based on available data and assumptions. Use at your own risk.