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A2A Indirect Prompt-Injection & Jailbreak Firewall
A2A Indirect Prompt-Injection & Jailbreak Firewall is a paid API for AI agents from serp-extract.agentdiet.dev, paid per call via MPP, $0.005/call, status unknown (last checked 2026-10-23).
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://serp-extract.agentdiet.dev/v1/indirect-injection-guard)
Output
Returns a sanitized version of the input text with detected prompt injection or jailbreak content removed or flagged, along with metadata indicating whether any threats were found.
Example use cases
Sanitizing scraped web content for agents
“I'm about to feed this scraped webpage into my AI pipeline — can you first scan it for any hidden prompt injections or malicious instructions embedded in the HTML before I pass it along?”
Guarding agent against malicious email payloads
“My agent just received this email from an unknown sender. Before it acts on the contents, check if there are any jailbreak attempts or hidden instructions buried in the text.”
Validating MCP tool responses before consumption
“My agent got back this MCP tool response and I want to make sure it's safe before processing it further — can you scan it for any indirect prompt injection payloads or attempts to hijack the agent's behavior?”
Technical details
Endpoint
POSThttps://serp-extract.agentdiet.dev/v1/indirect-injection-guard?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 API responses, emails, or MCP/A2A tool outputs — and you need a dedicated firewall layer to detect and strip hidden prompt injections or jailbreak payloads before they reach your LLM. Prefer this over manual regex filtering or generic content moderation when the threat model specifically involves adversarial instructions embedded in otherwise legitimate-looking content targeting AI agents.
Side effects
- Empty or missing 'text' field returns a validation error
- Very large payloads may exceed processing limits or increase latency
- Sophisticated obfuscated injections may evade detection (false negatives)
- Non-text binary content may not be properly parsed
- Service unavailability returns HTTP 402 or 5xx errors
- Malformed JSON in request body returns 400 Bad Request
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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