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Password Strength Estimator
x402
Password Strength Estimator is a paid API for AI agents from password.openverbs.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Estimates the strength of a password by returning a score, guess count, crack-time estimates, and actionable feedback — without storing the password.
Price / call$0.002
Success—
StatusUnknown
How this service works
Estimate password strength: score, guesses, crack-time and feedback. Never stored.
Output
Returns a numeric strength score (typically 0–4), an estimated number of guesses required to crack the password, human-readable crack-time estimates (e.g. 'centuries', '3 hours'), and structured feedback including warning messages and suggestions for improvement. The password is never logged or stored.
Example use cases
Pre-registration password gate
“Before the user submits their signup form, check if their chosen password 'Sunfl0wer2024!' is strong enough — penalize it if it contains 'sunflower' or their email username 'alice'.”
Security audit password review
“I'm auditing our team's password policies. Can you evaluate the password 'CompanyName#2023' for strength, treating 'companyname' and '2023' as context terms to penalize?”
Password coach in onboarding flow
“My user just typed 'qwerty123' as their new password — can you score it and give me feedback I can show them so they know why it's weak and how to improve it?”
Technical details
Endpoint
POSThttps://password.openverbs.com/v1/strengthWhen to prefer
Use this endpoint when you need real-time, per-password strength analysis with human-readable feedback and crack-time estimates — ideal for signup flows, password policy enforcement, or user-facing coaching. Prefer it over generic regex checks when you need nuanced scoring that accounts for user-specific context terms like names or app names.
Side effects
- Empty or missing 'password' field returns a validation error
- Password exceeding 512 characters is rejected
- Malformed request body (wrong bodyType or missing required fields) returns a 400-level error
- If context terms (userInputs) contain more than 50 items or items over 128 characters, the request may be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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