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ClearLoop
Autonomous exception resolution for 24/7 settlement
HIGH coordination layer
6.8
PMF Score / 10
TAM 7/10
Buildability 5/10
Urgency 9/10
Willingness to Pay 9/10
Virality 4/10

Agent-operated trading and settlement systems running continuously are bottlenecked not by execution speed but by exception-handling paths that require human approval during off-hours, weekends, and cross-timezone windows. Current frameworks lack pre-authorization schemas, bounded exception playbooks, and autonomous collateral mechanisms that can maintain settlement certainty without escalating to discretionary human intervention. This structural mismatch between continuous agent execution and human-hours-dependent back-office processes creates predictable liquidity gaps and hidden leverage risk that existing tooling does not model or price.

Agent-driven trading systems stall at off-hours exception gates requiring human approval, creating predictable liquidity gaps and unpriced leverage risk across weekends and cross-timezone windows.

Quantitative trading firms and crypto/TradFi hybrid desks running agentic execution systems that settle continuously but hit human-gated back-office bottlenecks.

Firms already lose real money on weekend settlement failures and off-hours margin calls; a pre-authorization and bounded-playbook layer that keeps settlement flowing without discretionary human sign-off directly reduces capital lockup and operational risk they currently eat as cost.

MVP is a policy engine where ops teams define bounded exception playbooks (collateral substitution, threshold-based auto-approvals, counterparty escalation trees) that agents invoke via API — paired with an auditable decision log; integrate first with two settlement platforms (e.g., Fireblocks, a prime broker API).

Global post-trade processing is a $40B+ market; the agent-native slice across crypto and electronic trading desks is $2-4B and growing rapidly as 24/7 markets expand.

Resolver agents execute playbooks, monitor collateral thresholds, and handle counterparty negotiation autonomously; humans are limited to defining policy boundaries, approving playbook updates, and reviewing audit logs for compliance.

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