EVE CoreGuard SDK - AI Governance Enforcement in One API Call
Project description
EVE CoreGuard SDK
AI Governance Enforcement in One API Call. Signed, replayable evidence for every AI/credit decision.
Website · EVE CoreGuard · Verify a signed record · Pricing · PyPI
EVE CoreGuard intercepts AI-generated decisions before execution, evaluates them against policy, and returns an auditable, cryptographically signed enforcement verdict — a record that reconstructs deterministically and verifies offline, so an examiner can confirm why a decision was allowed, denied, or modified, years later.
Built by EVE NeuroSystems — Decision Evidence Infrastructure for regulated AI — for lenders, banks, and fintechs navigating SR 11-7 model risk, ECOA / fair-lending examination, and the EU AI Act.
Install
pip install eve-coreguard
Quick Start
from eve_coreguard import CoreGuardClient
client = CoreGuardClient(
api_key="eve_sk_...",
base_url="https://api.eveaicore.com", # or http://localhost:8000
)
# Evaluate a proposed lending decision against policy
result = client.evaluate(
tenant_id="bank_001",
proposed_action={"type": "loan_approval", "amount": 250000, "currency": "USD"},
model_output={"decision": "approve", "confidence": 0.91},
context={
"credit_score": 580,
"debt_to_income": 0.52,
"employment_verified": False,
},
policy_set="lending_v1",
)
if result.blocked:
print(f"BLOCKED: {result.decision.action}")
print(f"Risk: {result.risk.score} ({result.risk.level})")
for v in result.policy_violations:
print(f" - {v.policy_id}: {v.description}")
if result.liability_prevented:
print(f"Exposure prevented: {result.liability_prevented.estimated_exposure}")
Core Methods
Policy Discovery
# Enumerate the full catalog with metadata
for p in client.list_policies():
print(p.policy_id, p.version, p.domain, p.jurisdiction, p.rule_count)
# Filter by regulatory domain
fair_lending = client.list_policies(domain="fair_lending")
# Inspect one pack (the policy_id is what you pass to evaluate)
info = client.get_policy("securities_trading_v1")
# info.policy_id, info.domain, info.jurisdiction, info.rule_count, info.notes
# Just the ids
ids = client.list_policy_sets()
Decision Enforcement
result = client.evaluate(
tenant_id="org_001",
proposed_action={"type": "loan_approval", "amount": 250000},
model_output={"decision": "approve", "confidence": 0.91},
context={"credit_score": 580, "debt_to_income": 0.52},
policy_set="lending_v1",
)
# result.decision.status: ALLOWED | BLOCKED | MODIFIED
# result.risk.score: 0.0-1.0
# result.policy_violations: list of violated rules
# result.regulatory_impact: ECOA, TILA, etc.
# result.counterfactual: what would have passed
# result.liability_prevented: estimated exposure
# result.audit: cryptographic audit trail
AI Output Verification
vr = client.verify(
ai_output="The capital of France is Paris.",
confidence=0.9,
domain="factual",
)
# vr.passed / vr.blocked
# vr.crd — Confidence-Reality Divergence score
# vr.veto.type — pass | soft_veto | hard_veto | charter
# vr.evidence — step-by-step audit chain
Audit & Compliance
# Retrieve cryptographic proof of a governance decision
proof = client.get_proof("proof_abc123")
# proof.content_hash, proof.signature, proof.chain_position
# Export decision history
export = client.export_audit(since="2026-01-01T00:00:00Z", limit=100)
for record in export.records:
print(f"{record.decision_type}: {record.decision}")
# Verify hash chain integrity
status = client.verify_chain()
Offline eve.decision.v3 Verification (no EVE call, no secret)
from eve_coreguard import verify_decision_record
# record_or_evidence: the signed decision record, or the evidence wrapper
# returned by /v1/decisions/evaluate (include_evidence=true).
r = verify_decision_record(
evidence,
public_key_pem=pem, # published Ed25519 key (/.well-known/eve-pubkey)
expected_fingerprint="sha256:...", # optional out-of-band pin of EVE's key
request_preimage=request_json, # optional: proves THIS request produced it
response_preimage=model_output_json, # optional: binds the exact model output
rule_results_preimage=rule_results_json, # optional: binds {decision, sorted rule IDs}
)
r.valid # overall — fail-closed on ANY evaluated check
r.schema # "eve.decision.v3" | legacy label
r.hash_ok, r.signature_ok
r.key_id_ok # signed signature_key_id vs kid DERIVED from your key
r.fingerprint # SPKI fingerprint derived from your key (never trusted from JSON)
r.request_digest # "PASS" | "FAIL" | "NOT_EVALUATED" (preimage not supplied)
r.response_digest, r.rule_results_digest
Absent preimages are reported NOT_EVALUATED — a signature-only check is
never presented as full content binding. Requires the verify extra
(pip install eve-coreguard[verify]) for Ed25519/ECDSA; HMAC-legacy records
are labeled legacy and need the deployment's shared key.
Configuration
| Parameter | Default | Description |
|---|---|---|
api_key |
required | EVE API key (eve_sk_...) |
base_url |
https://api.eveaicore.com |
API endpoint |
timeout |
30.0 |
Request timeout (seconds) |
max_retries |
3 |
Retry count for 5xx errors |
raise_on_veto |
False |
Raise VetoError on governance blocks |
Error Handling
from eve_coreguard import CoreGuardClient, AuthError, RateLimitError, VetoError
try:
result = client.evaluate(...)
except AuthError:
print("Invalid API key")
except RateLimitError as e:
print(f"Rate limited — retry in {e.retry_after}s")
except VetoError as e:
print(f"Governance veto: {e.veto_type}")
Response Metadata (subscription + rate limits)
Every call captures the response's billing and rate-limit headers. Read them after a call (or after catching an error):
result = client.evaluate(tenant_id="bank_001", ...)
client.subscription_state # 'active' | 'past_due' | 'restricted' | ...
client.access_state # 'full_access' | 'warning' | 'read_only' | ...
client.quota_warning # 'payment_past_due' when degraded-but-allowed, else None
client.rate_limit_limit # '330' | 'unlimited'
client.rate_limit_remaining # calls left in the current 60s window (int | None)
client.retry_after # seconds to wait after a 429 (int | None)
The decision endpoint is rate-limited per org by plan tier (Free 10/min,
Pro 330/min, Team 1150/min, Enterprise/Sovereign unlimited). On exhaustion it
returns 429 with Retry-After. See
Response-Header Contract.
Live Demo (Local)
Run a full end-to-end enforcement decision in 3 steps:
Step 1: Start the server
cd /path/to/EVE
python -m uvicorn saas.app:app --port 8000
Step 2: Install the SDK
cd sdks/coreguard
pip install -e .
Step 3: Run the demo
python run_demo.py
Expected output:
Decision: BLOCKED
Action: deny_loan_approval
Risk: 0.6284 (HIGH)
Violations: 3
- CREDIT_SCORE_MIN: Credit score 580 is below the minimum threshold of 620
- DTI_LIMIT: Debt-to-income ratio 0.52 exceeds the maximum threshold of 0.45
- EMPLOYMENT_REQUIRED: Employment verification is missing or unverified
Regulatory: 3 impact(s)
- ECOA [CRITICAL]: Potential discriminatory lending decision based on credit criteria
- ECOA [CRITICAL]: DTI threshold may disproportionately affect protected classes
- TILA [CRITICAL]: Incomplete underwriting verification
Liability: $125,000 - $625,000
Audit: audit_8e6db687d87d
Requirements
- Python 3.9+
- Zero required dependencies (stdlib
urllibonly) - Optional:
cryptographyfor offline Ed25519/ECDSA evidence verification (pip install eve-coreguard[verify])
Links
- Website: https://eveaicore.com
- EVE CoreGuard (product): https://eveaicore.com/coreguard
- Verify a signed decision record (offline, no account): https://eveaicore.com/proof
- Pricing: https://eveaicore.com/pricing
- Trust Center: https://eveaicore.com/trust-center
- PyPI: https://pypi.org/project/eve-coreguard/
About
EVE CoreGuard is built by EVE NeuroSystems LLC — Decision Evidence Infrastructure for regulated AI. Every AI/automated decision becomes a cryptographically signed, independently verifiable evidence record that survives procurement and regulatory examination.
Learn more at eveaicore.com.
License
Proprietary. See LICENSE for details.
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