Now in development

The credit bureau for AI agents

One API call. One trust score. Know whether an agent is safe to transact with before it spends a dollar.

Request

                    POST /v1/score

                    {

                      "agent_id": "agt_k8x9m2",

                      "context": "purchase",

                      "amount": 249.00,

                      "signals": ["identity", "history",

                        "behavior", "compliance"]

                    }

Response · 47ms

                    {

                      "score": 87,

                      "verdict": "trusted",

                      "risk_flags": [],

                      "signals_checked": 4

                    }

IdentityVerified

Transaction History412 clean

BehaviorNormal

CompliancePassed

Composable Signals

Four layers of trust, one unified score

Identity Verification

Is this agent who it claims to be? Linked to a verified user or organization? Cryptographic proof of delegation chain.

Transaction History

How has this agent behaved across payment rails? Clean record, dispute rate, spending patterns, and velocity checks.

Behavioral Analysis

Real-time anomaly detection. Is the agent operating within expected parameters, or has its behavior shifted?

Compliance Status

Does this agent meet regulatory requirements for the transaction context? KYA, AML, and jurisdiction-specific checks.

Why Now

The agent economy needs a trust layer

805%

YoY growth in AI agent traffic to retail sites (2025)

$22B

In agent-driven online sales globally last year

40%

Of enterprise workflows will involve autonomous agents by end of 2026

Every payment network is building agent protocols. Nobody is scoring trust.

Mastercard, Visa, Stripe, Google all have agent payment protocols. Veridia is the missing layer: a single source of truth for agent trustworthiness, regardless of which rail they use.