{"uid":"cap_1la1dtzRXgsBxzcCVlV70","slug":"company-enrich-agentdiet-dev-a2a-indirect-prompt-injection-jailbreak-2256a985","name":"A2A Indirect Prompt-Injection & Jailbreak Firewall","description":"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://company-enrich.agentdiet.dev/v1/injection-guard)","url":"https://company-enrich.agentdiet.dev/v1/injection-guard?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string","minLength":1,"description":"Untrusted text, HTML, or tool output to scan for hidden prompt injection or jailbreak payloads"}}},"responseSchema":{"type":"object"},"example":null,"exampleRequest":null,"tags":[],"displayCostAmount":"0.005","displayCostAsset":"USD","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.005/call","primary":{"kind":"static","protocol":"mpp","network":"tempo","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"mpp","network":"tempo","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Hq7cVI_kSOC3h9ccf_JLz","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"company-enrich.agentdiet.dev","brandSlug":"company-enrich-agentdiet-dev-mpp","brandBaseUrl":"https://company-enrich.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Scans untrusted text, HTML, emails, MCP responses, or A2A payloads for hidden prompt injections and jailbreak attempts, returning sanitized output.","exampleAgentPrompt":"Before my agent processes this scraped webpage content, run it through the injection-guard firewall to check for hidden prompt injections or jailbreak payloads and give me back the sanitized version: [paste untrusted HTML or text here].","exampleUseCases":[{"title":"Guarding agent from malicious web scrapes","prompt":"I just scraped this webpage to feed into my research agent, but I'm worried it might contain hidden prompt injection instructions — can you scan it for injection attacks and return the cleaned text before I pass it along?"},{"title":"Sanitizing third-party email before LLM processing","prompt":"This customer email is about to be processed by my AI support agent. Can you run it through the prompt injection firewall first to make sure there are no embedded jailbreak instructions hiding in it?"},{"title":"Validating MCP tool response before pipeline use","prompt":"My agent just got back a response from an external MCP tool and I don't fully trust the source — can you check this payload for any indirect prompt injection or manipulation attempts before I let my pipeline act on it?"}],"resultDescription":"Returns a structured object containing the sanitized version of the input text with any detected prompt injection or jailbreak content neutralized, along with detection metadata indicating whether threats were found.","failureModes":["Empty or missing 'text' parameter returns a 400 validation error","Extremely long payloads may exceed request size limits","False negatives possible for novel or obfuscated injection techniques","Service unavailability returns 402 or 5xx if payment or server issues occur","Non-text binary content may not be correctly parsed or scanned"],"whenToPreferThis":"Use this endpoint when your AI agent or pipeline is about to consume untrusted external content — scraped web pages, user-submitted text, third-party API responses, MCP tool outputs, or A2A agent messages — and you need to strip hidden prompt injections or jailbreak payloads before they reach your LLM. Prefer this over generic input validation when the threat model specifically involves adversarial text crafted to manipulate AI behavior rather than standard data quality issues.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:24:58.235Z","isFirstParty":false,"canonicalSlug":"company-enrich-agentdiet-dev-a2a-indirect-prompt-injection-jailbreak-90291d00"}