Scan text for leaked secrets
Scan source code or configuration text for hardcoded secrets: AWS access keys, GitHub/Slack/Google tokens, Stripe and OpenAI keys, PEM private-key blocks, JWTs and high-entropy secret assignments. Placeholder values are filtered out. Each finding gives the rule, a severity (critical/high/medium/low), line and column, entropy and a masked excerpt. Offline and deterministic.
Listing completeness · 80/100
Presence of published information only. Not a security, reliability or performance score. Same rules for Datoka and external listings.
- Name and traceable source
- 10/10 · Present
- Meaningful description
- 10/10 · Present
- Connection or installation reference
- 20/20 · Present
- Dedicated documentation or source repository
- 0/15 · Missing or insufficient
- Explicit free access or numeric tariff
- 20/20 · Present
- Declared integration protocol
- 10/10 · Present
- Source updated within 90 days
- 10/10 · Present
- Declared capability names
- 0/5 · Missing or insufficient
Evaluated 2026-10-07 · Method listing-completeness-1. Scoring rules
Connect & use
Connect through the publisher’s supported interface. Any credentials or payments are handled by the provider.
x402 resource
https://scan.openverbs.com/v1/secretsRead the current payment requirements with a compatible client before authorizing a call.
Categories and declared capabilities
Topic categories are derived from publisher text for discovery, not independently verified capabilities.
The registry does not provide a verified tools list. See the observations, when available, for any tools/list check; a published tools list does not establish that execution succeeds.
Evidence, with its limits.
This listing is indexed. Any domain claim or endpoint observation appears separately with its date and limited scope. No payment execution, factual accuracy or safety certification is inferred.