Monitor AI automations, catch failures, control cost and tokens, and prove client ROI from one graph-first workspace.
From first signal to client proof in three steps.
New visitors can understand the product path before they sign in: connect one workflow, verify live evidence, then turn that evidence into a client-facing report.
A graph-first map for the workflows clients depend on.
Drag nodes to explore how Meridian frames automation health, run evidence, metric signals, and client proof in one connected workspace.
Show the operational story clients actually need.
Meridian reports turn workflow telemetry into a readable 30-day operations review with comparisons, incident history, cost, tokens, freshness, and a print-ready client summary.
30-day operations review
Prepared for a client stakeholder: uptime, incidents, spend, token usage, workflow freshness, and ROI proof in one read-only view.
Watch data flow into Meridian.
Dify, n8n, GitHub Actions, REST metrics, and SDK/API telemetry all become one operational evidence stream for runs, metrics, alerts, and client proof.
Designed to keep automation evidence dependable.
Health, schema, auth, billing sync, and runtime posture are surfaced before a pilot depends on them.
Alert delivery uses queued jobs, delivery evidence, retries, and operator-visible terminal states.
Operators can recover queued jobs, clean retention, and poll projects on demand without always-on idle usage.
Exports, logs, telemetry, and report payloads are capped so private-beta projects stay predictable.
Start conservatively, scale with credits.
Plans include monthly usage, with prepaid credits available inside Billing after sign-in. Public pricing buttons lead to account creation, not checkout.
Open Meridian and start with the graph.
New accounts get guided setup for the first node, telemetry signal, run verification, and client proof report. Returning users go straight to the dashboard.
