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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 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://json-repair.agentdiet.dev/v1/injection-firewall)
Output
Returns a structured object indicating whether prompt injection or jailbreak content was detected, along with sanitized text with malicious instructions removed or flagged, allowing the calling agent to safely consume the content downstream.
Example use cases
Sanitizing scraped web content for agents
“I'm about to feed this scraped news article into my research agent — can you run it through the prompt-injection firewall to make sure there are no hidden instructions embedded in the HTML before passing it along?”
Screening incoming emails for jailbreak attacks
“Before my email-processing agent reads this inbound message, scan the full email body for any hidden prompt injection or jailbreak attempts — I don't want adversarial instructions sneaking into my pipeline.”
Validating MCP tool responses in an agent pipeline
“My agent just got back a response from an external MCP tool — can you check that payload for any indirect prompt injections or hidden override instructions before I let the agent act on it?”
Technical details
Endpoint
GEThttps://json-repair.agentdiet.dev/v1/injection-firewall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your agent pipeline ingests content from untrusted external sources — scraped web pages, user-submitted text, third-party tool outputs, MCP responses, or A2A payloads — and you need to detect and strip hidden prompt injections or jailbreak instructions before passing content to an LLM. Prefer this over generic content filtering when you specifically need AI-agent-aware injection detection rather than general spam or malware scanning.
Side effects
- Empty or missing 'text' parameter returns a validation error
- Extremely long payloads may be truncated or rejected
- Sophisticated obfuscated injections may evade detection (false negatives)
- Non-text binary content may not be correctly parsed
- Payment failure via x402 returns HTTP 402 before processing
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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