TrustFetch Batch Injection Scan

x402

TrustFetch Batch Injection Scan is a paid API for AI agents from trustfetch.duckdns.org, paid per call via x402, $0.12/call, status unknown (last checked 2026-09-13).

Scans a batch of text strings for hidden prompt-injection attempts, returning per-text signals, confidence scores, and detected techniques.

Price / call$0.12

Seller volume →—

Success—

StatusUnknown

How this service works

Volume tier: scan up to 10 texts for a single flat price -- cheaper per item than calling the fast tier that many times separately.

Output

Returns a JSON object with a count and a results array (one entry per input text). Each result includes: injection_suspected (boolean), confidence (0-1 float), technique name (e.g. 'override_phrase'), flagged_snippet (the offending text), reasoning (human-readable explanation), detector_tier (e.g. 'heuristic'), and a signals array with granular per-signal details including snippet, reasoning, technique, and confidence.

Example use cases

Guard agent against user input hijacking

“I'm about to let my agent process these 5 user-submitted messages, but first scan all of them for prompt injection attempts — flag anything that looks like it's trying to override the agent's instructions or smuggle in hidden commands.”

Screen scraped webpage before agent reads it

“I just scraped the text from this webpage my agent is about to summarize. Before it reads the content, scan it for any embedded prompt injection phrases or jailbreak attempts hidden in the page text.”

Audit customer support tickets for adversarial input

“We have 20 customer support tickets that will be processed by an AI. Can you scan all of them at once for hidden prompt injection attempts or override phrases before we feed them to the model?”

Technical details

Endpoint

POSThttps://trustfetch.duckdns.org/tools/injection-scan/batch

When to prefer

Choose this endpoint when you need to screen multiple texts at once for prompt injection before an AI agent acts on them — especially when processing untrusted user input, scraped web content, or external documents in bulk. It is purpose-built for LLM security use cases rather than general content moderation or spam filtering. Prefer this over single-text scanning when you have 2+ texts to check, since batch processing is more cost-efficient per text.

Side effects

Missing required 'texts' array returns validation error
Empty texts array may return empty results with no useful signal
Very long or malformed strings may cause processing errors
Heuristic detector may produce false positives on benign imperative language
Low-confidence detections (confidence < 0.5) may not reliably indicate true injection
Network or DNS issues with duckdns.org domain could cause connectivity failures
Payment authorization failure blocks the call before scanning begins

Input

Schema · Request body

Field	Type	Description
texts	array	List of texts to scan, one result per text

Output

Schema · Response

{
  "type": "json",
  "example": {
    "count": 1,
    "results": [
      {
        "signals": [
          {
            "snippet": "Ignore all previous instructions",
            "reasoning": "Text contains a phrase attempting to override prior instructions.",
            "technique": "override_phrase",
            "confidence": 0.9
          }
        ],
        "reasoning": "Text contains a phrase attempting to override prior instructions.",
        "technique": "override_phrase",
        "confidence": 0.9,
        "detector_tier": "heuristic",
        "flagged_snippet": "Ignore all previous instructions",
        "injection_suspected": true
      }
    ]
  }
}

Reviews

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How this service works

Volume tier: scan up to 10 texts for a single flat price -- cheaper per item than calling the fast tier that many times separately.

Output

Example use cases

Guard agent against user input hijacking

Screen scraped webpage before agent reads it

Audit customer support tickets for adversarial input

“We have 20 customer support tickets that will be processed by an AI. Can you scan all of them at once for hidden prompt injection attempts or override phrases before we feed them to the model?”

Technical details

Endpoint

POSThttps://trustfetch.duckdns.org/tools/injection-scan/batch

When to prefer

Side effects

Missing required 'texts' array returns validation error
Empty texts array may return empty results with no useful signal
Very long or malformed strings may cause processing errors
Heuristic detector may produce false positives on benign imperative language
Low-confidence detections (confidence < 0.5) may not reliably indicate true injection
Network or DNS issues with duckdns.org domain could cause connectivity failures
Payment authorization failure blocks the call before scanning begins

Input

Schema · Request body

Field	Type	Description
texts	array	List of texts to scan, one result per text

Output

Schema · Response

{
  "type": "json",
  "example": {
    "count": 1,
    "results": [
      {
        "signals": [
          {
            "snippet": "Ignore all previous instructions",
            "reasoning": "Text contains a phrase attempting to override prior instructions.",
            "technique": "override_phrase",
            "confidence": 0.9
          }
        ],
        "reasoning": "Text contains a phrase attempting to override prior instructions.",
        "technique": "override_phrase",
        "confidence": 0.9,
        "detector_tier": "heuristic",
        "flagged_snippet": "Ignore all previous instructions",
        "injection_suspected": true
      }
    ]
  }
}