Prevent hosted PostgREST Data APIs from failing when exposed DB schemas change — auto-reconcile runtime schemas

Teams that expose PostgREST runtime APIs on managed Postgres (Supabase, Neon and similar) routinely incur broken endpoints when application or DB schemas change, and this problem hits product engineers, platform teams, and small ops-light orgs who lack dedicated DBAs. It is a sizable, addressable problem — roughly 2.0M developer teams/orgs and a $6.0B market (at about $3K ACV) — and recurring incidents can cost teams multiple hours per outage and slow feature rollout. You could build a hosted/agent hybrid service that auto-detects schema drift against live PostgREST endpoints, proposes and can apply safe runtime reconciliations (shims, view/mapping layers or transient roles), and surfaces AI-assisted root-cause and human-in-the-loop fixes in CI/CD or as a one-click rollback. The product would include lightweight runtime hooks (<10KB agent), integrations with Supabase/Neon, migration toolchains and observability feeds, and metrics-driven guarantees (targeting 70–90% reduction in API failures) while monetizing with $1–5K ACV tiers and enterprise addons. Timing is favorable: hosted Postgres adoption and the shift-left operations trend make teams expect API stability without dedicated DBAs, and advances in LLM-assisted log and schema analysis lower the cost of automated repair. To stand out in a medium-competition field you must focus on PostgREST-specific reconciliation logic rather than generic DB diffing, maintain strict least-privilege connectors and deterministic repair paths to minimize false positives (aim <1%), and pursue early partnerships with hosted Postgres vendors; challenges include the engineering complexity of safe runtime patches and the risk that platform providers add competing features, so clear measurable outcomes and trusted integrations will be decisive.