ai-trustgraph-enterprise 0.1.1

Enterprise client for AI-TrustGraph cloud control plane — license-key authenticated with usage metering

AI-TrustGraph Enterprise

Enterprise client for the AI-TrustGraph cloud control plane.

Install

pip install ai-trustgraph-enterprise

This also installs ai-trustgraph (OSS core) as a dependency.

Usage

from ai_trustgraph_enterprise import Client

client = Client(
    license_key="tg_xxx",
    endpoint="https://api.ai-trustgraph.com"
)

# Oracle resolution — runs through all 7 TrustGraph layers
result = client.oracle_resolve("customer revenue by region")
print(result["explanation"]["summary"])

# Trust scoring
score = client.trust_score("dataset-123")

# Governance scan (PII, SOX, GDPR)
report = client.governance_scan("dataset-123")

# Contract validation
status = client.contracts_validate("dataset-123")

# Lineage trace
lineage = client.graph_lineage("dataset-123")

# Check usage and billing
usage = client.usage_summary()
bill = client.usage_billing(tier="starter")

# Always close to flush usage events
client.close()

Or use as a context manager:

with Client(license_key="tg_xxx") as client:
    result = client.oracle_resolve("monthly active users")

How it works

Every action generates a usage event sent to the cloud control plane:

Method	Event Type
oracle_resolve()	trust_evaluation
trust_score()	trust_evaluation
governance_scan()	policy_execution
contracts_validate()	contract_validation
graph_lineage()	lineage_request
semantic_search()	agent_query

Events are queued locally and flushed on close().

OSS vs Enterprise

Feature	OSS (ai-trustgraph)	Enterprise
Local trust scoring	✅	✅
Semantic catalog	✅	✅
Metadata ingestion	✅	✅
Local knowledge graph	✅	✅
API server	✅	✅
Cloud control plane	❌	✅
License key auth	❌	✅
Usage metering	❌	✅
Billing integration	❌	✅
Oracle resolution	✅	✅