credigraph 0.3.4

Python client for the CrediGraph API

CrediNet

Graph and Machine Learning-based domain credibility assessments on the web.

For more details, refer to the full documentation:

---

Install

pip install credigraph

Quick Start

from credigraph import query, query_batch

# Single domain
result = query("apnews.com")
print(result["credible"])

# Multiple domains
results = query_batch(["apnews.com", "cnn.com", "reuters.com"])
for result in results:
    print(result["credible"])

Input Normalization

The client handles various input formats:

query("example.com")
query("www.example.com")
query("https://example.com/article?x=1")
query("EXAMPLE.COM") 
# will all resolve to example.com

Response Format

For one domain's credibility score, use the query() endpoint:

{
    "domain": "apnews.com",
    "credible": true
}

For a list of domains, use the query_batch() batch endpoint:

[
    {"domain": "apnews.com", "credible": true},
    {"domain": "cnn.com", "credible": true},
    {"domain": "example.com", "credible": false}
]

Refer to the full documentation for more details.

Versioning

The CrediGraph API follows semantic versioning:

import credigraph
print(credigraph.__version__)  # 0.3.1

Refer to the full versioning documentation for more details.

API Contract

• OpenAPI spec: openapi.yaml
• Developing guide (versioning, testing): credigraph/README.md

Refer to the full config documentation for more details.

Support

• Issues: GitHub Issues
• Documentation: read the official CrediGraph documentation or the repo's README (client usage) + credigraph/README.md (developer workflow)
• Further issues: contact the developers.