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Speer Cyber Defense – Prompt Injection Patterns Feed
x402
Speer Cyber Defense – Prompt Injection Patterns Feed is a paid API for AI agents from api.speercyberdefense.com, paid per call via x402, $0.001/call, status down (last checked 2026-09-15).
Returns a curated feed of known prompt injection attack patterns, optionally filtered by tag (e.g. 'jailbreak') and limited by count, for use in AI security defenses.
Price / call$0.001
Success—
StatusDown
How this service works
Cybersecurity micropayments API for AI agents — pay-per-call USDC on Base and Solana (x402 v2). Free utility services under /v1/free/* and gateway select under /v1/gateway/* (Public). Paid cybersecurity analysis, CVE/security news feeds, Base blockchain intelligence, network intel utilities, composite domain/URL reports, research, conversion, verification, and feeds. Failed security analyses are not billed (HTTP 503).
Output
A JSON object containing: 'ok' (boolean success flag), 'items' (array of prompt injection pattern records matching the query), 'status' (string status indicator), and 'updatedAt' (ISO 8601 timestamp of the last feed update). Failed analyses return HTTP 503 and are not billed.
Example use cases
Harden LLM chatbot against jailbreaks
“Fetch the latest jailbreak prompt injection patterns from Speer Cyber Defense — I want up to 50 of them so I can add them to my chatbot's input validation blocklist.”
AI red-teaming pattern library
“Give me a broad set of known prompt injection patterns from Speer Cyber Defense's feed, no tag filter, limit 50 — I'm building a red-teaming suite to stress-test my AI agent.”
Monitor prompt injection threat landscape
“What prompt injection techniques are currently tracked by Speer Cyber Defense? Pull the full feed and tell me when it was last updated so I know how fresh the threat intel is.”
Technical details
Endpoint
GEThttps://api.speercyberdefense.com/v1/intel/prompt-injection/patternsWhen to prefer
Choose this endpoint when you need a structured, regularly updated feed of known prompt injection patterns for AI security purposes — especially when building input filters, red-teaming tools, or LLM guardrails. Prefer it over generic threat intel feeds when your focus is specifically on adversarial prompt techniques rather than CVEs or network-level threats. The pay-per-call micropayment model makes it cost-effective for low-volume or on-demand agent queries.
Side effects
- HTTP 503 if the analysis or feed retrieval fails (not billed)
- Empty 'items' array if no patterns match the specified tag
- Payment required (HTTP 402) if USDC micropayment via x402 is not provided
- Invalid tag parameter may return empty or unexpected results
- Rate limiting if called too frequently without valid payment headers
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"items": [],
"status": "ok",
"updatedAt": "2026-01-01T00:00:00.000Z"
}
}Tags
x402
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