The 0–100 rating that bridges AI compliance posture and risk pricing, the underwriting data layer for E&O, professional liability, and cyber policies covering AI deployments. APIR produces the rating and the evidence; licensed carriers and brokers price and bind any policy, not APIR.
Each sub-score is 0–100. The Insurance Score is the weighted blend, rounded to one decimal:
insurance_score = round₁( Σᵢ (sub_scoreᵢ × weightᵢ) ) where Σᵢ weightᵢ = 1.00
Rating-agency grade bands map the score to an evidence band a broker can price against:
≥ 90
Strongest evidence coverage
≥ 85
Very strong
≥ 80
Strong
≥ 75
Good
≥ 70
Adequate
≥ 65
Minimum evidenced threshold
≥ 55
Weak evidence coverage
≥ 45
Very weak
≥ 35
Severely limited
≥ 0
Not evidenced
The score also maps to an insurability tier, the vocabulary brokers see on every APIR surface:
Certification threshold: 65. Agents at grade B or above are eligible for an APIR Evidence Certificate, issued only by a human-triggered call, valid 365 days, publicly verifiable. It attests what the record contained on the day it was issued. It is not a statement about insurance.
Note: the APIR Insurance Score is 0–100. The FICO-style 300–850 scale belongs to the separate APIR Agent Credit Bureau product.
An agent with:
behavioral_reliability: 82 (weight .20) incident_history: 75 (weight .20) compliance_coverage: 90 (weight .15) drift_stability: 85 (weight .15) containment_readiness: 100 (weight .10) data_governance: 80 (weight .08) transparency: 70 (weight .07) human_oversight: 88 (weight .05)
Produces:
insurance_score = 82×.20 + 75×.20 + 90×.15 + 85×.15 +
100×.10 + 80×.08 + 70×.07 + 88×.05
= 16.4 + 15.0 + 13.5 + 12.75 + 10.0 + 6.4 + 4.9 + 4.4
= 83.4 → Grade A · insurability: standardThe worked example produces 83.4, which is Grade A. What that number means for any policy is a question for a licensed broker. APIR does not price, place or assess cover, and has no underwriting partner.
Every agent_insurance_scores row carries the methodology_version that produced it, and every rescore appends to a tamper-evident score history. A broker pulling a score knows exactly which version of this rubric was applied; historical scores stay comparable even after methodology updates. One engine computes every score, there is no second code path.
APIR Intelligence. (2026). APIR Insurance Score Methodology v1.1.0. https://apir.ai/insurance/methodology