AI shopping and payment agents are already calling your APIs. BladeRun verifies the agent at the merchant perimeter, separates legitimate AP2 and MPP traffic from synthetic abuse, and produces per-agent forensic evidence for every transaction.
Traditional fraud signals, device fingerprints, mouse paths, dwell time, friction tolerance, assume a human at the keyboard. AI agents bypass all of them by design. The first wave of agentic commerce traffic is already in your logs.
You cannot distinguish a registered Operator agent shopping for a real customer from a scripted abuse agent spoofing the same User-Agent header. Your fraud stack treats both as bot traffic and rejects what should be your highest-conversion channel.
AP2 and MPP credentials carry signed mandate scope, spend caps, and merchant whitelisting, but only if you actually verify them. Most merchant gateways accept the call and forward it to the issuer untouched.
When a chargeback lands, you have the transaction record but not the agent context: which prompt drove the purchase, which tools the agent invoked, which mandate authorized it. Issuer disputes will tilt against the merchant by default.
Inbound agents are verified at two places: the page (via BladeRun.js, the script tag on your customer-facing pages) and the API (via the BladeRun Gateway in front of your fraud platform). Registered agents arrive with provenance. Unregistered agents are scored by behavior. Both vectors share the same session ID so your fraud engine sees one trace.
The Gateway sits in front of your inventory, pricing, search, and checkout APIs. Every tool call from an agent, whether registered or not, is captured, scored, and evidenced. You see what the agent did before, during, and after the purchase.
When an issuer disputes an agent-initiated transaction, you have the entire context in one record: agent identity, signed mandate, tool-call sequence, prompt provenance (where supported), and the cryptographic signature of the authorizing principal. Sovereign storage in your environment, your keys, your retention policy.
Traditional fraud signals (device fingerprint, dwell time, friction tolerance) assume a human. Agentic commerce breaks that assumption. BladeRun handles the new threat shapes specifically.
| Threat | How it presents | BladeRun response | Outcome |
|---|---|---|---|
| Mandate spoofing | Forged or replayed AP2 / MPP credentials presented at checkout to bypass spend caps. | Cryptographic verification of mandate signature, scope, expiry, and issuer attestation in line. | BLOCKED |
| Synthetic agent fraud | Scripted bots impersonating registered shopping agents to exploit agent-traffic conversion paths. | Behavioral baseline per agent type, tool-call shape, timing, sequence, and origin attestation. | BLOCKED |
| Inventory scraping at scale | Agents probing every SKU and variant for downstream price arbitrage or counterfeit listing. | Fleet Correlator detects coordinated probe patterns across IPs and agent identifiers. | BLOCKED |
| Promo-code race conditions | Agents detecting and exploiting brief windows of stale promo codes via parallel automated checkout. | Per-agent rate limiting, mandate-scope enforcement, and anomaly score on first-use velocity. | BLOCKED |
| Account takeover via agent | Stolen credentials replayed through a legitimate-looking shopping agent to launder fraud as agent traffic. | Cross-session behavioral correlation; principal attestation mismatch flagged before checkout. | BLOCKED |
| Refund / chargeback abuse | Coordinated chargebacks on agent-initiated purchases exploiting weak merchant evidence. | Time Machine produces issuer-ready chargeback packet with cryptographic mandate proofs. | DEFENDED |
Apparel, electronics, marketplace sellers. High SKU velocity, agent-driven price comparison, and the first targets of automated promo abuse and inventory scraping.
Airlines, hotels, event platforms. Agent traffic is already 5–15% of search volume. Inventory races and held-cart abuse are the highest-value protection target.
Acquirers and gateways routing agent-initiated transactions for thousands of merchants. Network-level signal across the agent ecosystem.
Agent-driven trial abuse, multi-account fraud, and self-service plan stacking. Agent identity at signup separates legitimate procurement agents from automated abuse.
Issuer-side governance for agent-initiated card-not-present transactions. Mandate verification at the authorization layer; per-agent behavioral baselines.
Procurement agents acting on behalf of corporate buyers under spend mandates. AP2 verification, scope enforcement, and audit trails for finance team approval.
No platform migration, no checkout rebuild. Point one endpoint at the BladeRun Gateway and we will show you which agent traffic is registered, which is synthetic, and which would have been blocked.
1 hour, no code. Share a sample of recent checkout and product-API logs; we classify the agent traffic against AP2 / MPP credentials, known agent identifiers, and behavioral baselines. You see the breakdown.
One endpoint of your choice, typically search, cart, or checkout, points to the BladeRun Gateway. Inspection runs in shadow mode for the first week. Zero customer impact.
You move the pilot endpoint from shadow to enforcement on your timeline. Behavioral thresholds tuned to your traffic. Reversible by routing rule.
Optional. Contribute one-way signal hashes to the merchant Federation Network. Receive cross-merchant agent reputation, fraud-pattern rules, and synthetic-agent signatures within minutes of first detection anywhere on the network.
A 1-hour traffic assessment. No code, no integration. We classify the agent traffic in your existing logs and show you what BladeRun would do.
