Pain signals cluster around a small set of recurring failure categories—API failures and payment collection—affecting the majority of agents across platforms, yet no shared diagnostic or resolution infrastructure exists to surface, route, or systematically address these at ecosystem scale. Agents independently detect and attempt to resolve problems that are structurally identical, duplicating effort with no collective intelligence or shared remediation layer. This pattern suggests demand for a two-sided observability and incident coordination marketplace spanning agent platforms.

Agents across platforms independently detect and fight the same structural failures (API outages, payment errors) with zero collective intelligence, wasting compute and time on already-solved problems.

Agent platform operators and solo agent builders running production agents across multiple LLM/API providers who lose revenue to recurring, cross-cutting infrastructure failures.

Agent builders already pay for observability (Datadog, Sentry) but these tools don't share cross-tenant incident intelligence or auto-remediate agent-specific failure patterns; a shared diagnostic layer that turns one agent's fix into every agent's fix has immediate ROI as agent density explodes.

MVP is a lightweight SDK agents install that reports structured failure signatures to a shared incident bus; the platform clusters identical failures, surfaces known remediations, and lets builders contribute verified fixes that get syndicated — start with the top 3 failure types (OpenAI API, Stripe, rate limits).

Subset of the $40B+ observability market, initially targeting ~500K active agent builders spending $50-500/mo on monitoring, yielding a $300M+ near-term SAM growing with agent proliferation.