regex_explain
Explain, lint and test a regular expression before an agent ships it. Parses the pattern (PCRE, JavaScript, Python, Go/RE2, Java or .NET syntax) into a token-by-token plain-English explanation with capture groups; flags ReDoS risks (nested quantifiers, overlapping alternation in repeats, adjacent...
This record as markdown: /tools/com-it-scorptech-x402/regex-explain.md
What regex_explain does on ScorpTech x402 API
AI agents call regex_explain 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 |
|---|---|---|---|
flags | string | — | i, m, s, x, u (g and y are accepted and ignored) |
tests | array | — | Sample strings to run the pattern on |
flavor | string | — | |
pattern | string | Yes | The regex (a JavaScript literal like /abc/gi is also accepted) |
Parameters from the server's own tool schema.
Why regex_explain is rated Low
Even though regex_explain 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.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs regex_explain 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 regex_explain, this is the rule to start with:
regex_explain 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 regex_explain call is checked against it from then on.
Questions about regex_explain
Explain, lint and test a regular expression before an agent ships it. Parses the pattern (PCRE, JavaScript, Python, Go/RE2, Java or .NET syntax) into a token-by-token plain-English explanation with capture groups; flags ReDoS risks (nested quantifiers, overlapping alternation in repeats, adjacent overlapping quantifiers) and confirms them with a crafted input against a backtracking limit; warns about common bugs (unescaped dots in domains, [A-z], empty alternatives, unanchored validators); reports which features each regex flavour does not support (lookbehind, possessive / atomic, \A \z, named-group syntax, Unicode classes, backreferences in RE2); and runs the pattern on sample strings returning every match with its groups and offsets. Price: $0.002 USDC per successful call (x402, Solana). Same tool over HTTPS: POST https://scorptech.it.com/api/x402/v1/regex-explain. It is categorised as a Read tool in the ScorpTech x402 API MCP Server, which means it retrieves data without modifying state.
regex_explain accepts 4 parameters: flags, tests, flavor, pattern. Required: pattern. 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 regex_explain: 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.
regex_explain 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 regex_explain 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 regex_explain. 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.
regex_explain 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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