Agents book test runs, route tools, and settle pay-per-fix bills automatically.
ProblemOperators cannot safely debug autonomous runs when provenance and spend controls are weak. When incidents hit, teams lose hours figuring out what failed, who should fix it, and what they can afford to retry.SolutionFixr Agent brokers debugging work end-to-end: it books test capacity, routes the right tools, and settles pay-per-fix workflows with auditable receipts. Teams get faster recovery with controlled spend and traceable outcomes.Target CustomerAI product teams and platform operators at startups and SMB software companies running autonomous workflows in production.Revenue ModelUsage-based fee per brokered debug run plus monthly policy tiers for advanced controls, approvals, and dispute automation.MVP ScopeAccept failed run metadata, route to approved fix providers/tools, execute one controlled retry path, and generate signed settlement + audit record.Risks- Provider/tool quality variance could reduce trust in early results.
- Dispute workflows may become complex if failure attribution is ambiguous.
- Teams may resist automation if spending controls are not transparent enough.
Projected TAMThousands of AI-native teams are moving from prototypes to production and need reliability tooling; adjacent observability/incident-response budgets indicate a meaningful wedge for automated debugging brokerage.