- NOTE: This is unavailable at the moment. (Coming soon)
Example request:
import requests
import json
import os
url = "https://api.enkryptai.com/guardrails/detect"
payload = json.dumps({
"text": "The invention includes dust sensors that measure the accumulation of particles on the surface.",
"detectors": {
"copyright_ip": {
"enabled": True,
"block_message": "Your custom message"
}
}
})
headers = {
'Content-Type': 'application/json',
'apikey': os.getenv('ENKRYPTAI_API_KEY')
}
response = requests.request("POST", url, headers=headers, data=payload)
formatted_response = json.dumps(json.loads(response.text), indent=4)
print(formatted_response)
import os
from enkryptai_sdk import *
from dotenv import load_dotenv
load_dotenv()
ENKRYPT_API_KEY = os.getenv("ENKRYPTAI_API_KEY")
ENKRYPT_BASE_URL = os.getenv("ENKRYPTAI_BASE_URL") or "https://api.enkryptai.com"
guardrails_client = GuardrailsClient(api_key=ENKRYPT_API_KEY, base_url=ENKRYPT_BASE_URL)
guardrails_config = GuardrailsConfig.copyright_ip()
prompt = "The invention includes dust sensors that measure the accumulation of particles on the surface."
detect_response = guardrails_client.detect(text=prompt, guardrails_config=guardrails_config)
print(detect_response)
# Print as a dictionary
print(detect_response.to_dict())
Example response:
JSON
{
"summary": {
"copyright_ip_similarity": 0.6765570640563965
},
"details": {
"copyright_ip": {
"similarity_score": 0.6765570640563965,
"compliance_mapping": {
"owasp_llm_2025": [
"LLM02:2025 Sensitive Information Disclosure (Proprietary data subset)"
],
"mitre_atlas": [],
"nist_ai_rmf": [
"GOVERN 1.5 (Legal & regulatory compliance)"
],
"eu_ai_act": [
"Article 53, Recital 105 (Respect for IP & copyright)"
],
"iso_iec_standards": [
"ISO/IEC 42001: 6.1.3"
]
}
}
},
"result_message": "Your custom message"
}

