package_risk
npm or PyPI package risk/typosquat check: registry metadata, weekly downloads (npm), deprecation, license/repo presence, edit-distance to popular packages, and whether close-name variants already exist. Heuristic — not a malware scanner. Price: $0.01 USDC per successful call (x402, Solana). Same ...
This record as markdown: /tools/com-it-scorptech-x402/package-risk.md
What package_risk does on ScorpTech x402 API
AI agents use package_risk to create or update resources in ScorpTech x402 API, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ScorpTech x402 API environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | Package name |
ecosystem | string | Yes | npm or pypi |
Parameters from the server's own tool schema.
Why package_risk is rated Medium
An AI agent can call package_risk faster than any human can review: one bad instruction and it creates or modifies resources in ScorpTech x402 API by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs package_risk 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 package_risk, this is the rule to start with:
package_risk stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. 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 package_risk call is checked against it from then on.
Questions about package_risk
npm or PyPI package risk/typosquat check: registry metadata, weekly downloads (npm), deprecation, license/repo presence, edit-distance to popular packages, and whether close-name variants already exist. Heuristic — not a malware scanner. Price: $0.01 USDC per successful call (x402, Solana). Same tool over HTTPS: GET https://scorptech.it.com/api/x402/v1/package-risk. It is categorised as a Write tool in the ScorpTech x402 API MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
package_risk accepts 2 parameters: name, ecosystem. Required: name, ecosystem. 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 package_risk: 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.
package_risk is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the package_risk 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 package_risk. 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.
package_risk 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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