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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from json-repair.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-injection 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://json-repair.agentdiet.dev/v1/guard)
Output
Returns a JSON object indicating whether prompt injection or jailbreak content was detected in the input, along with a sanitized version of the text with adversarial instructions removed or flagged.
Example use cases
Guard agent before processing scraped page
“I just fetched this web page to summarize for my AI agent — can you scan the raw HTML for any hidden prompt injections or jailbreak payloads before the agent reads it? Here's the content: [paste HTML].”
Sanitize inbound email for AI assistant
“My AI assistant is about to read and act on this incoming email. First, run it through the prompt-injection firewall to make sure there are no adversarial instructions hiding in it — here's the email body.”
Validate MCP tool response before agent action
“My agent just got a response back from an MCP tool and is about to use it to take action. Can you scan that tool output for embedded jailbreak attempts before we let the agent proceed?”
Technical details
Endpoint
GEThttps://json-repair.agentdiet.dev/v1/guard?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your AI agent is about to consume untrusted external content — scraped web pages, incoming emails, third-party API or MCP tool responses, or A2A payloads — and you need a lightweight, fast guard layer to detect and strip hidden prompt-injection or jailbreak instructions before the agent acts on them. Prefer it over manual regex filtering or generic content moderation when the threat model is specifically adversarial LLM manipulation rather than toxicity or spam.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely large payloads may be rejected or truncated
- False negatives possible for highly obfuscated or novel injection techniques
- Network timeout if the service is temporarily unavailable
- Non-UTF-8 encoded content may cause parsing errors
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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