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Tanod mlpeek Prompt Injection Detector
x402
Tanod mlpeek Prompt Injection Detector is a paid API for AI agents from tanod.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-14).
Screens up to 20,000 characters of text (web pages, emails, tool results) for prompt injection attempts, returning a verdict, confidence score, and flagged sentences.
Price / call$0.002
Success—
StatusUnknown
How this service works
Check text for prompt injection: screen a web page, email or tool result of up to 20,000 characters. Input: text. Returns a verdict, a score and the flagged sentences; automated and heuristic. Use when an agent will act on text it did not write.
Output
Returns a JSON object with: a boolean or categorical verdict (injection detected or not), a numeric confidence score, and a list of flagged sentences identified as potential prompt injection attempts, using automated and heuristic detection.
Example use cases
Screening scraped web page before agent acts
“I just fetched a third-party website as part of my research pipeline — before you summarize it or follow any instructions from it, screen the page content for prompt injection and tell me the verdict and flagged sentences.”
Guarding agent inbox from malicious emails
“Check this incoming email before I let my agent process it — I want to know if it contains any prompt injection attempts trying to manipulate the agent, and which exact sentences are suspicious.”
Validating tool result before downstream action
“My agent just got back a result from an external tool — can you run it through the injection detector before we proceed? I need the verdict and a score so I know whether it's safe to act on.”
Technical details
Endpoint
POSThttps://tanod.dev/v1/text/injection?utm_source=zero.xyzWhen to prefer
Use this endpoint when an AI agent is about to act on text it did not generate itself — such as scraped web pages, incoming emails, or third-party tool results — and needs a fast, automated safety check for prompt injection before processing. Prefer this over manual review when operating at scale or when low-latency screening is needed. Particularly valuable in agentic pipelines where untrusted external content feeds directly into agent decision-making.
Side effects
- Text exceeds 20,000 character limit — request rejected
- Empty or missing text field — validation error
- Heuristic false positives on legitimate instructional text
- May miss novel or highly obfuscated injection techniques
- Payment failure via x402 protocol — call not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | The text to screen, 1 to 20,000 characters: a web page, an email or a tool result an agent is about to act on. |
Tags
x402
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