Restore per-service requests & error-rate time-series via service-health API

Executive Summary

Many engineering teams—platform, SRE, DevEx and small ops orgs—lack consistent per‑service requests and error‑rate time‑series when instrumentation is partial, during vendor migrations, or when relying on coarse health checks, which impedes post‑incident RCA and leads to noisy, low‑signal alerts. This problem affects an estimated 1.2M engineering teams that collectively spend ~$12B on observability (assumed $10K ACV each), indicating clear demand for lightweight ways to restore or backfill missing service‑level time‑series. You could build a standards‑first service‑health API plus a vendor‑neutral backfill engine that reconstructs per‑service request and error‑rate time‑series from lightweight health pings, sampled spans, logs and existing OTLP streams, exposing confidence scores, configurable retention and an SDK to plug into OpenTelemetry pipelines. The product would provide automated historical backfill, a concise on‑call dashboard that surfaces restored signals and accuracy metrics, and turnkey integrations to feel native inside major observability UIs. Go‑to‑market could target a $10K ACV for mid‑sized teams while offering a low‑friction entry tier to drive adoption. Market timing is favorable: OpenTelemetry and emerging health API standards reduce instrumentation cost, SRE/DevEx priorities emphasize faster signal‑to‑action, and consolidation among big vendors creates space for lightweight add‑ons; the opportunity scores 92/100 on market attractiveness and 78/100 on revenue potential, with medium competition. Key challenges are proving reconstruction accuracy relative to full instrumentation, driving standard adoption, and navigating sales motions against incumbent observability suites, but a standards‑aligned, vendor‑neutral backfill service focused on on‑call efficiency can occupy a defensible niche.