Prompt-injection scan for text your AI agent is about to read (web pages, emails
Prompt-injection scan for text your AI agent is about to read (web pages, emails, tool output, MCP tool descriptions): risk score 0-100, verdict, categories and exact spans. Detects instruction overrides, jailbreak personas, system-prompt extraction, fake chat delimiters, data-exfiltration URLs, tool hijacking, hidden Unicode and encoded payloads. Deterministic rules, no data stored.
Answeringour last check, 2026-10-24
1 of 1checks answered this week
120 msmedian answer time
$0.003listed price per call
$0.003price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://api.youraitools.co/injectscan/v1/scan
| Category | Everything else |
|---|---|
| Provider host | api.youraitools.co |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-24 | valid payment request | 402 | $0.003 | 120 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"text": "Please summarize this article about solar panels."
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"text": {
"description": "Text to scan (GET: up to ~8 KB in the query string; POST JSON for longer text, up to 100,000 characters)",
"type": "string"
},
"url": {
"description": "Instead of text: absolute http(s) URL of a public page to fetch and scan (visible text plus hidden HTML)",
"type": "string"
}
},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}