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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from github-audit.agentdiet.dev, paid per call via MPP, $0.005/call, status unknown (last checked 2026-10-21).
Scans untrusted text, HTML, emails, MCP responses, or A2A payloads for hidden prompt injections and jailbreak attempts, returning sanitized output.
Price / call$0.005
Success—
StatusUnknown
How this service works
Scans untrusted web pages, emails, MCP responses, or A2A payloads for hidden prompt injections and returns sanitized text. (Live x402 v2, IETF MPP & MCP endpoint at https://github-audit.agentdiet.dev/v1/tool-poisoning-shield)
Output
Returns a JSON object containing the scan result for the submitted text, typically including whether a prompt injection or jailbreak payload was detected and a sanitized version of the input text with adversarial instructions removed or flagged.
Example use cases
Sanitize scraped web content for agent pipeline
“I'm about to feed this HTML from an external website into my research agent — can you scan it for hidden prompt injections first and give me the clean version?”
Guard agent inbox from malicious email payloads
“Before my email-processing agent reads this incoming message, check it for any embedded jailbreak or prompt injection attempts and return the sanitized text.”
Validate third-party MCP tool responses
“My agent just got a response back from an untrusted MCP tool — can you run it through the prompt-injection firewall before I let the agent act on it?”
Technical details
Endpoint
GEThttps://github-audit.agentdiet.dev/v1/tool-poisoning-shield?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent pipeline ingests untrusted external content — scraped web pages, emails, MCP tool responses, or A2A payloads — and you need to prevent indirect prompt injection or jailbreak attacks before the content reaches your LLM. Prefer it over generic content filters when the threat model specifically involves adversarial instructions hidden in third-party data sources targeting autonomous agents.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely long payloads may be truncated or rejected
- False negatives on highly obfuscated or novel injection techniques
- False positives on legitimate text that resembles injection patterns
- Service unavailability or HTTP 402 payment required if balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Untrusted text, HTML, or tool output to scan for hidden prompt injection or jailbreak payloads |
Output
Schema · Response
{
"type": "object"
}Reviews
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