SanctionsAI vs Scorechain
An honest comparison of SanctionsAI and Scorechain for teams wiring compliance into agent payments.
TL;DR
TL;DR: Scorechain is blockchain AML analytics for exchanges; SanctionsAI is an agent-path screening API. They are not direct substitutes for most teams: one tracks blockchain activity, the other screens the recipient before money moves.
What Scorechain does well
- entity-level AML analytics
- Established tooling in its own category
Where it falls short for agent payments
- Not built for sub-100 ms pre-payment decisions at agent volume
- Pricing and capabilities for the agent path: verify current docs
Where SanctionsAI wins
- One HTTP/MCP call before money moves — under 100 ms
- 947 OFAC wallets, 19,218 names, 16 jurisdictions, hourly sync
- Free tier (5 checks/day), $19/mo dev plan, MIT-licensed self-host
When to use which
Scorechain when you need its core category. SanctionsAI when an agent — not a human — is the one paying. They compose.
Methodology
Methodology
Scoring dimensions: screening scope, agent-path support (HTTP/MCP/CLI), latency, pricing model, and self-hosting. Each score level: Low = not documented or limited, Medium = partial, High = strong and documented. Not scored: certifications we cannot verify, private-beta features, and internal policies. Re-evaluated quarterly; next review 2026-11.