Agents verify memory sources, then pay for clean context before critical actions.
ProblemMemory poisoning and weak provenance cause costly autonomous decisions. Teams cannot easily prove which memory facts are trustworthy before high-impact actions are executed.SolutionMemory Cop verifies source provenance, attaches confidence receipts, and gates risky decisions until context is validated. It gives operators auditable trust signals before agents act.Target CustomerAI product teams and agent platform operators running autonomous workflows with shared memory or retrieval pipelines.Revenue ModelUsage-based pricing per memory verification plus monthly tiers for policy controls, retention, and dispute workflows.MVP ScopeIngest memory entries, score provenance, run challenge checks, and return verify/block recommendations with signed receipts for critical actions.Risks- False positives could block benign actions and frustrate users.
- High-latency verification may slow time-sensitive workflows.
- Trust scoring quality depends on available source metadata.
Projected TAMAs agentic systems scale, memory trust and audit tooling becomes a core reliability spend category; adjacent security/observability markets suggest a large and expanding opportunity.