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pandas Advisory Severity Breakdown
x402
pandas Advisory Severity Breakdown is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Returns a breakdown of OSV security advisory severities (critical, high, medium, low) for a specific version of the PyPI pandas package.
Price / call$0.01
Success—
StatusUnknown
How this service works
pandas Advisory severity breakdown: Advisory severity breakdown for PyPI package pandas, from OSV. Accepts an exact version; latest resolves the registry version. Scope is the named package only.
Output
A structured breakdown of security advisories for the specified pandas version, categorized by severity level (critical, high, medium, low), sourced from the OSV (Open Source Vulnerabilities) database. May include pagination support via page_token for large result sets.
Example use cases
Pre-upgrade vulnerability check
“Before we upgrade our data pipeline to use pandas 2.2.0, can you check the OSV advisory severity breakdown for that version so we know what security issues we'd be taking on?”
Pinned dependency security audit
“We're pinned to pandas 1.5.3 in production — can you get me a breakdown of how many critical and high severity advisories exist for that exact version according to OSV?”
Latest release safety check
“What's the current advisory severity breakdown for the latest pandas release? I want to see if there are any critical issues before recommending it to our team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/signal-osv-pypi-pandas-severity?utm_source=zero.xyzWhen to prefer
Use this endpoint when you specifically need a severity-bucketed summary of OSV advisories for the pandas PyPI package. Prefer this over general vulnerability APIs when you want a pre-scoped, cost-efficient single-package lookup focused on severity distribution rather than full advisory detail.
Side effects
- Invalid or non-existent version string returns empty or error response
- 'latest' resolution may lag behind actual PyPI registry if cache is stale
- Package field must remain 'pandas' — passing other packages may return empty or unexpected results
- Payment failure (402) if USDC balance is insufficient
- Pagination token invalid or expired
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| package | string | |
| version | string | |
| page_token | string |
Tags
x402
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