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Visualization

Behavior Score

Read the visual grammar generated from a token's saved structured rules.

Configured rulesBehavior Score is a view, not another source of facts.
SELL4%
2%BUY MOG→ BURN
1%STAKERS
SELL4%NOW
THEN1%DAY 7
MAX SELL0.5%OF SUPPLY
001025050075
1001K MOG
FEE source + percentageROUTE effective allocationsTIME scheduled changeLIMIT configured boundaryMILESTONE reward interval

A visual reading of active rules

Behavior Score transforms the active TokenRule[] into a financial schematic. Fee rules become sources. Buyback, holder, staker, liquidity, and liquidity-provider allocations become branches. Time changes become rails. Buyer rewards become milestone tracks. Limits become labeled boundaries.

The visual grammar follows the rule families

FEE
A BUY or SELL source, the configured percentage, and any FIRST or ABOVE condition.
SPLIT
Branches from one fee source. Each branch shows the effective trade percentage after normalization.
DESTINATION
A terminal such as BUY MOG, HOLDERS, STAKERS, LIQUIDITY, or LIQUIDITY PROVIDERS. BURN appears only when it is explicit.
TIME
A NOW-to-THEN or ENDS rail for a configured fee change or duration.
LIMIT
A labeled boundary such as MAX BUY, MAX SELL, MAX WALLET, MIN TRADE, or COOLDOWN.
MILESTONE
A buyer-count track ending at the configured interval/count and reward.

Liquidity, access, trading-open, timed-activation, and volatility rules that do not have a specialized diagram remain visible as plain-language behavior rows. That fallback is deliberate: the score should not drop a supported active rule merely because its geometry is less specialized.

The score uses the same frontend configuration

Review and Behavior Score read the same normalized rule objects. A score branch cannot exist without a corresponding active rule. Explicit burn is never inferred from buyback alone. Disabled rules are omitted.

This is a useful source-of-truth relationship inside the frontend. Classic V1 has no rule-execution consumer, so the score does not prove that a market is enforcing those rules.

How to read a complex score

  1. 01
    Find the source

    Start at BUY or SELL and note the collected percentage and any FIRST or ABOVE condition.

  2. 02
    Follow every branch

    Each destination shows its effective percentage of the trade, not only its share of the fee.

  3. 03
    Read the terminal

    A buyback may stop at reserve/another destination or continue to BURN only when burn is explicit.

  4. 04
    Inspect time separately

    NOW and THEN/ENDS show when a fee changes; volume endpoints are only configured triggers today.

  5. 05
    Check standalone limits and milestones

    These are active rules even when they do not connect to a fee branch.

Simple and composed scores use the same model

A simple score might contain one SELL 2% source. A composed score groups that same source with buyback and staking branches, then places time changes, limits, and milestones alongside it. Composition changes the amount of visible structure; it does not introduce a second data model.

What Behavior Score is not

It is not a token-quality rating, risk score, audit result, creator reputation, contract verification, market forecast, or promise of returns. A harmful or nonsensical configuration can still be displayed clearly.