secret_scan
Scan code, config, logs, diffs or prompts for leaked credentials before you commit, share or send them to an LLM: 50+ rules (AWS, GitHub, GitLab, Slack, Stripe, Google, OpenAI, Anthropic, xAI, Hugging Face, npm, PyPI, Twilio, Telegram, Discord, DigitalOcean, Vault, database URLs, JWTs, PEM privat...
This record as markdown: /tools/com-it-scorptech-x402/secret-scan.md
What secret_scan does on ScorpTech x402 API
AI agents call secret_scan to retrieve information from ScorpTech x402 API without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
text | string | Yes | Text to scan |
redact | boolean | — | Also return the text with every finding replaced by [REDACTED:<rule>] |
maxFindings | integer | — | |
includeGeneric | boolean | — | Include entropy-checked generic password/secret assignments |
Parameters from the server's own tool schema.
Why secret_scan is rated Low
Even though secret_scan only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs secret_scan safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ScorpTech x402 API, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For secret_scan, this is the rule to start with:
secret_scan is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ScorpTech x402 API, apply this rule, and every secret_scan call is checked against it from then on.
Questions about secret_scan
Scan code, config, logs, diffs or prompts for leaked credentials before you commit, share or send them to an LLM: 50+ rules (AWS, GitHub, GitLab, Slack, Stripe, Google, OpenAI, Anthropic, xAI, Hugging Face, npm, PyPI, Twilio, Telegram, Discord, DigitalOcean, Vault, database URLs, JWTs, PEM private keys) plus crypto-wallet secrets (EVM/Solana hex and base58 keys, Solana keypair arrays, checksum-validated Bitcoin WIF, seed phrases) and entropy-checked generic password assignments. Findings carry line/column, severity, entropy and a redacted preview (secrets are never echoed); placeholders and documented example keys are marked; optional fully redacted copy of the input. Price: $0.003 USDC per successful call (x402, Solana). Same tool over HTTPS: POST https://scorptech.it.com/api/x402/v1/secret-scan. It is categorised as a Read tool in the ScorpTech x402 API MCP Server, which means it retrieves data without modifying state.
secret_scan accepts 4 parameters: text, redact, maxFindings, includeGeneric. Required: text. The full parameter table on this page comes from the server's own tool schema.
Register the ScorpTech x402 API MCP server in PolicyLayer and add a rule for secret_scan: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches ScorpTech x402 API. Nothing to install.
secret_scan is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the secret_scan rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for secret_scan. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
secret_scan is provided by the ScorpTech x402 API MCP server (https://scorptech.it.com/api/x402/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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