Computes mathematical exponentiation with arbitrary precision — base^exponent for any real numbers. Access via `/v1/math/power` REST endpoint or MCP in Cursor and other AI editors. Example: 2^10 = 1024. Handles edge cases like fractional exponents and negative bases that often trip up manual calculations.
curl "https://tinyfn.io/v1/math/power" \
-H "X-API-Key: YOUR_API_KEY"const response = await fetch('https://tinyfn.io/v1/math/power', {
headers: { 'X-API-Key': 'YOUR_API_KEY' }
});
const data = await response.json();
console.log(data);import requests
response = requests.get('https://tinyfn.io/v1/math/power',
headers={'X-API-Key': 'YOUR_API_KEY'})
data = response.json()
print(data)Connect your AI agent (Claude, Cursor, Windsurf, etc.) to TinyFn's math tools:
{
"mcpServers": {
"tinyfn-math": {
"url": "https://tinyfn.io/mcp/math",
"headers": {
"X-API-Key": "YOUR_API_KEY"
}
}
}
}The power tool handles fractional exponents like 8^(1/3) = 2 or 16^0.5 = 4. Just pass the decimal value as the exponent parameter.
Results depend on the specific values. (-8)^(1/3) works, but (-4)^0.5 returns an error since it would produce a complex number.
Yes, perfect for financial formulas. An agent can calculate compound interest using (1 + rate)^time without floating-point precision issues.
Provides consistent results across platforms and handles edge cases uniformly. Languages vary in their pow() implementations, especially for special values.
Supports very large exponents within reasonable computational limits. Extremely large results may be returned in scientific notation.