REST Script Examples

export KYBERIS_BASE_URL="https://api.kyberis.ai"
export KYBERIS_API_KEY_ID="<key_id>"
export KYBERIS_API_KEY_SECRET="<secret>"

kyberis_post() {
  local path="$1"
  local payload="$2"
  curl -sS -X POST "$KYBERIS_BASE_URL$path" \
    -H "Authorization: ApiKey $KYBERIS_API_KEY_ID:$KYBERIS_API_KEY_SECRET" \
    -H "Content-Type: application/json" \
    -H "Accept: application/json" \
    -d "$payload"
}

kyberis_post "/v2/entity-resolution" '{
  "agent_context": {
    "objective": "Resolve actor alias for sample workflow.",
    "requested_outcome": "Canonical actor entity.",
    "workflow_stage": "resolve",
    "run_id": "run-rest-actor-sample",
    "step_id": "resolve-actor"
  },
  "query": "APT29",
  "expected_types": ["actor"],
  "resolution": {
    "max_results": 5,
    "include_aliases": true,
    "include_metadata": true
  }
}' | jq .

kyberis_post "/v2/ioc-assessments" '{
  "agent_context": {
    "objective": "Assess an exact domain IOC.",
    "requested_outcome": "Deterministic IOC risk guidance.",
    "workflow_stage": "assessment",
    "run_id": "run-rest-ioc-sample",
    "step_id": "assessment-ioc"
  },
  "query": "suspicious-domain.example"
}' | jq .

kyberis_post "/v2/prioritize" '{
  "agent_context": {
    "objective": "Prioritize threats for a sample healthcare environment.",
    "requested_outcome": "Ranked signal list with reasons.",
    "workflow_stage": "assessment",
    "run_id": "run-rest-prioritize-sample",
    "step_id": "prioritize"
  },
  "environment": {
    "products": ["Microsoft Exchange", "Okta", "Kubernetes"],
    "vendors": ["Microsoft", "Okta"],
    "capabilities": ["federated_identity", "public_api_surface"],
    "industry": "healthcare",
    "geography": ["US"],
    "external_exposure": ["owa", "public_api"]
  },
  "time_window_days": 14,
  "max_items": 10
}' | jq .

kyberis_post "/v2/entity-resolution/batch" '{
  "agent_context": {
    "objective": "Resolve a small set of sample investigation triggers.",
    "requested_outcome": "Per-item canonical entities or ambiguity states.",
    "workflow_stage": "batch",
    "run_id": "run-rest-batch-sample",
    "step_id": "batch-resolution"
  },
  "items": [
    { "query": "CVE-2024-3094", "expected_types": ["cve"] },
    { "query": "APT29", "expected_types": ["actor"] },
    { "query": "suspicious-domain.example", "expected_types": ["domain"] }
  ],
  "stop_on_error": false
}' | jq .

import json
import os
import urllib.request

BASE_URL = os.environ.get("KYBERIS_BASE_URL", "https://api.kyberis.ai")
KEY_ID = os.environ["KYBERIS_API_KEY_ID"]
SECRET = os.environ["KYBERIS_API_KEY_SECRET"]


def kyberis_post(path, payload):
    request = urllib.request.Request(
        f"{BASE_URL}{path}",
        data=json.dumps(payload).encode("utf-8"),
        headers={
            "Authorization": f"ApiKey {KEY_ID}:{SECRET}",
            "Content-Type": "application/json",
            "Accept": "application/json",
        },
        method="POST",
    )
    with urllib.request.urlopen(request, timeout=20) as response:
        return json.load(response)

run_id = "run-python-cve-sample"
resolution = kyberis_post("/v2/entity-resolution", {
    "agent_context": {
        "objective": "Resolve CVE for Python sample workflow.",
        "requested_outcome": "Canonical CVE entity.",
        "workflow_stage": "resolve",
        "run_id": run_id,
        "step_id": "resolve-cve",
    },
    "query": "CVE-2024-3094",
    "expected_types": ["cve"],
    "resolution": {"max_results": 5, "include_metadata": True},
})

print(json.dumps({
    "request_id": resolution.get("request_id"),
    "status": resolution.get("resolution", {}).get("status"),
    "canonical_id": resolution.get("canonical_id"),
}, indent=2))