Failproof AI: Buy vs Skip (Agency Agent Monitoring)
If your agency runs 3+ active client agent projects and needs runtime failure detection across Claude Code, Cursor, or Codex, start with the Free Forever tier ($0/mo, 5,000 runs) to validate tracing and policy enforcement. Upgrade to Team at $99/mo for 50,000 runs and unlimited failure audits only when client volume demands it; otherwise, defer if you lack integration capacity or need white-label client portals.
By InnovaAI ResearchPublished
Failproof AI: Buy vs Skip (Agency Agent Monitoring)
“If your agency runs 3+ active client agent projects and needs runtime failure detection across Claude Code, Cursor, or Codex, start with the Free Forever tier ($0/mo, 5,000 runs) to validate tracing and policy enforcement. Upgrade to Team at $99/mo for 50,000 runs and unlimited failure audits only when client volume demands it; otherwise, defer if you lack integration capacity or need white-label client portals.”
- Agency manages multiple client agents and needs to detect silent failures that evals miss, using deep tracing across harnesses like Claude Code and Cursor.
- Client contracts require documented safety policies and audit trails; Failproof AI's 39 built-in policies and failure audits provide governance evidence.
- You want a low-cost entry point: the Free Forever tier at $0/mo covers up to 5,000 runs, letting you pilot observability without client billing.
- Your team can invest 20h per client setup (as in the $2,500 starter offer) to configure policies and dashboards, making monitoring a billable service.
- You need alerting and integration with existing observability stacks like Langfuse or Datadog to centralize agent health monitoring.
- Your agency requires white-label or multi-tenant client portals; Failproof AI's core offering lacks these, so you cannot brand monitoring as a client-facing feature.
- Client agent run volumes exceed 50,000 per month and you are unwilling to pay beyond $99/mo Team tier or negotiate enterprise pricing.
- You lack engineering resources to integrate SDKs/CLI into each agent deployment, as Failproof AI requires per-deployment setup rather than turnkey installation.
- Your clients need only basic LLM observability (token usage, latency) rather than agent-specific failure auditing; tools like Langfuse may suffice.
- You are evaluating on innovation or value scores alone (3/100 and 1.7/100), which suggest limited differentiation in a crowded category.