# OT Intel API – YARA/Sigma/Snort Detection Artifacts

> OT Intel API – YARA/Sigma/Snort Detection Artifacts is a paid API for AI agents from ot-intel-api.onrender.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).

Returns YARA, Sigma, and/or Snort detection rules for named OT/ICS malware families and threat actors, enriched with OT safety notes and ATT&CK ICS context

## Facts

- Endpoint: GET https://ot-intel-api.onrender.com/ot/detection
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/ot-intel-api-yara-sigma-snort-detection-artifacts-083f1a65
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8s0jquhemGd5F-19TR5kL

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability ot-intel-api-yara-sigma-snort-detection-artifacts-083f1a65
```

Example prompt: Pull all detection rule formats — YARA, Sigma, and Snort — for the PIPEDREAM malware from the OT Intel API so I can deploy them in my industrial SOC SIEM.

## When to prefer this

Use this endpoint when you need detection engineering artifacts (YARA/Sigma/Snort) specifically tuned for OT/ICS environments, with OT safety annotations and ATT&CK for ICS technique context. Prefer over generic threat intel APIs when targeting industrial SOC environments, NERC CIP compliance workflows, or when you need per-layer (e.g. engineering_workstation, historian) deployment guidance. Best for AI-driven SOC automation pipelines that need machine-readable detection rules for ICS malware like PIPEDREAM, TRITON, or INDUSTROYER2.

## Known failure modes

- Unknown malware or actor name returns empty signatures array or 404
- Payment not received (402) — USDC micropayment on Base mainnet required before response
- Rule format enum value invalid — must be yara, sigma, snort, or all
- Synthesised rules (validated:false) may not match real traffic — requires lab testing before production deployment
- Freshness lag — AI-synthesised rules may not reflect the most recent threat actor TTPs
- Render.com cold start may cause initial latency spike

## How this service works

ICS detection artifact retrieval. Pass ?target=PIPEDREAM or ?target=SANDWORM&format=sigma. Returns YARA/Sigma rules for the target malware or actor, sourced from public corpus (Florian Roth signature-base, CISA advisories) with validated:true, or DeepSeek-synthesised with validated:false. Designed for automated threat hunting pipelines that commit rules to SIEMs and EDRs — validated:true rules are safe to deploy; validated:false require lab testing first.

## Output

A JSON object containing one or more detection rule objects (YARA, Sigma, Snort) for the queried malware or actor, each with: rule name, raw rule text, source, validated flag, OT-safe deployment note, target OT layer (e.g. engineering_workstation), artifact type, freshness timestamp, and counts of validated vs synthesised rules. Includes a top-level OT safe validation summary warning if rules are AI-synthesised and not yet lab-validated.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "target"
     ],
     "properties": {
      "format": {
       "type": "string",
       "description": "Rule format: yara | sigma | snort | all (default: all)"
      },
      "target": {
       "type": "string",
       "description": "Malware or actor name e.g. PIPEDREAM, INDUSTROYER2, TRITON, SANDWORM, CHERNOVITE"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "target": "PIPEDREAM",
  "freshness": "2026-06-19T10:00:00Z",
  "signatures": [
   {
    "type": "YARA",
    "source": "manual",
    "raw_rule": "rule PIPEDREAM_INCONTROLLER_Loader { meta: ... strings: ... condition: ... }",
    "rule_name": "PIPEDREAM_INCONTROLLER_Loader",
    "validated": false,
    "ot_safe_note": "Synthesised from CISA advisory AA22-103A. Test against OT baseline before SIEM deployment.",
    "target_layer": "engineering_workstation"
   }
  ],
  "data_sources": [
   "OT-Intel-DB",
   "DeepSeek-CTI-Analysis"
  ],
  "artifact_type": "malware",
  "validated_count": 0,
  "synthesised_count": 1,
  "ot_safe_validation": "0 of 1 rules sourced from public corpus. Rules with validated:false require lab testing before production deployment."
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/ot-intel-api-yara-sigma-snort-detection-artifacts-083f1a65/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from ot-intel-api.onrender.com](https://www.zero.xyz/host/ot-intel-api.onrender.com/llms.txt)