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affaan-m/evm-token-decimals

affaan-m

evm-token-decimals

Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.

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v1.1Saved May 11, 2026

EVM Token Decimals

Silent decimal mismatches are one of the easiest ways to ship balances or USD values that are off by orders of magnitude without throwing an error.

When to Use

  • Reading ERC-20 balances in Python, TypeScript, or Solidity
  • Calculating fiat values from on-chain balances
  • Comparing token amounts across multiple EVM chains
  • Handling bridged assets
  • Building portfolio trackers, bots, or aggregators

How It Works

Never assume stablecoins use the same decimals everywhere. Query decimals() at runtime, cache by (chain_id, token_address), and use decimal-safe math for value calculations.

Examples

Query decimals at runtime

from decimal import Decimal
from web3 import Web3

ERC20_ABI = [
    {"name": "decimals", "type": "function", "inputs": [],
     "outputs": [{"type": "uint8"}], "stateMutability": "view"},
    {"name": "balanceOf", "type": "function",
     "inputs": [{"name": "account", "type": "address"}],
     "outputs": [{"type": "uint256"}], "stateMutability": "view"},
]

def get_token_balance(w3: Web3, token_address: str, wallet: str) -> Decimal:
    contract = w3.eth.contract(
        address=Web3.to_checksum_address(token_address),
        abi=ERC20_ABI,
    )
    decimals = contract.functions.decimals().call()
    raw = contract.functions.balanceOf(Web3.to_checksum_address(wallet)).call()
    return Decimal(raw) / Decimal(10 ** decimals)

Do not hardcode 1_000_000 because a symbol usually has 6 decimals somewhere else.

Cache by chain and token

from functools import lru_cache

@lru_cache(maxsize=512)
def get_decimals(chain_id: int, token_address: str) -> int:
    w3 = get_web3_for_chain(chain_id)
    contract = w3.eth.contract(
        address=Web3.to_checksum_address(token_address),
        abi=ERC20_ABI,
    )
    return contract.functions.decimals().call()

Handle odd tokens defensively

try:
    decimals = contract.functions.decimals().call()
except Exception:
    logging.warning(
        "decimals() reverted on %s (chain %s), defaulting to 18",
        token_address,
        chain_id,
    )
    decimals = 18

Log the fallback and keep it visible. Old or non-standard tokens still exist.

Normalize to 18-decimal WAD in Solidity

interface IERC20Metadata {
    function decimals() external view returns (uint8);
}

function normalizeToWad(address token, uint256 amount) internal view returns (uint256) {
    uint8 d = IERC20Metadata(token).decimals();
    if (d == 18) return amount;
    if (d < 18) return amount * 10 ** (18 - d);
    return amount / 10 ** (d - 18);
}

TypeScript with ethers

import { Contract, formatUnits } from 'ethers';

const ERC20_ABI = [
  'function decimals() view returns (uint8)',
  'function balanceOf(address) view returns (uint256)',
];

async function getBalance(provider: any, tokenAddress: string, wallet: string): Promise<string> {
  const token = new Contract(tokenAddress, ERC20_ABI, provider);
  const [decimals, raw] = await Promise.all([
    token.decimals(),
    token.balanceOf(wallet),
  ]);
  return formatUnits(raw, decimals);
}

Quick on-chain check

cast call <token_address> "decimals()(uint8)" --rpc-url <rpc>

Rules

  • Always query decimals() at runtime
  • Cache by chain plus token address, not symbol
  • Use Decimal, BigInt, or equivalent exact math, not float
  • Re-query decimals after bridging or wrapper changes
  • Normalize internal accounting consistently before comparison or pricing
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Overall Score

87/100

Grade

A

Excellent

Safety

90

Quality

88

Clarity

85

Completeness

82

Summary

A defensive coding guide for preventing silent decimal mismatch bugs in EVM token handling. It teaches runtime decimal lookup, chain-aware caching, defensive error handling for non-standard tokens, and decimal-safe arithmetic patterns across Python, TypeScript, Solidity, and shell tooling.

Detected Capabilities

blockchain rpc queriesethereum contract interactionpython arithmetic operationstypescript/javascript promise handlingsolidity smart contract patternsbash command execution via castcaching via function memoization

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

evm token decimalsdecimal precision bugstoken balance normalizationbridged token handlingcross-chain token amounts

Use Cases

  • Reading ERC-20 balances with correct precision
  • Calculating fiat values from on-chain token amounts
  • Comparing token amounts across multiple EVM chains
  • Handling bridged assets that may have precision drift
  • Building portfolio trackers, bots, and DeFi aggregators that avoid off-by-orders-of-magnitude bugs

Quality Notes

  • Teaches defensive error handling with try-catch and graceful fallbacks (non-standard token handling)
  • Uses exact arithmetic (Decimal, BigInt, formatUnits) instead of float, preventing precision loss
  • Clear scope: focused on decimal precision, not general token handling or contract security
  • Practical multi-language examples (Python, Solidity, TypeScript, Bash) show broad applicability
  • Emphasizes runtime queries over hardcoded assumptions, addressing root cause of decimal bugs
  • Chain + token address caching strategy correctly avoids symbol-based lookups that fail across chains
  • Cache size limit (maxsize=512) shows awareness of memory constraints
  • Logging and fallback patterns make failures visible instead of silent
  • Well-structured with clear rules section that reinforces best practices
Model: claude-haiku-4-5-20251001Analyzed: May 11, 2026

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Version History

v1.1

Content updated

2026-04-20

Latest
v1.0

No changelog

2026-04-12

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