TokenGuard
A team-shared AI-coding spend platform that rolls Claude Code, Codex, Cursor, and Gemini costs into one dashboard, alerts managers on spikes, and enforces routing policies so simple edits hit cheap models.
Engineering managers and platform teams whose devs use AI coding tools daily
- Unified multi-tool dashboard (extends tokentab's parsers) with per-engineer, per-project, per-day breakdowns and CSV export
- Slack/email alerts when a single session or project crosses configurable spend thresholds
- Policy guardrails: auto-route 'small edit / test fix / typo' style tasks to a cheap model, require approval for the expensive tier
- Weekly executive summary that ranks the costliest prompt patterns and suggests model-substitution wins
A free open-source CLI that already reads Claude Code, Codex, Cursor, and Gemini logs hit 78 stars in a day — proving engineering teams are actively trying to understand and contain their AI-coding bill, but no team-grade SaaS yet wraps the problem.
Real signal exists: clawdboard.ai shows $4.36M+ tracked spend across 72+ devs and the caut CLI hit 75 stars, but this measures individual dev pain more than confirmed team-budget/manager willingness to pay for a unified SaaS.AI Coding Tool Comparison — Codex CLI vs Claude Code vs OpenCode vs … ↗GitHub - Dicklesworthstone/coding_agent_usage_tracker ↗
Market is already crowded: AICosts.ai (unified 50+ provider dashboard), Tokei, futureagi's Enterprise LLM Gateway for cross-agent cost tracking, plus established LLM-observability players (Portkey, Helicone, Langfuse) all overlap; team-specific AI-coding wrapper is a thin slice, not wide open.AICosts.ai | All your AI costs in one dashboard ↗AI Coding Cost Tracking Tools Compared: Tokei vs Manual Logging vs API … ↗Enterprise LLM Gateway: Coding Agent Cost Tracking 2026 ↗
Engineering teams clearly spend on AI coding (clawdboard $4.36M aggregate) and adjacent SaaS like AICosts.ai and enterprise gateways are monetizing, but cost-tracking is a fast-commoditizing category undercut by free open-source CLIs (caut) and cheap observability tools.AICosts.ai | All your AI costs in one dashboard ↗AI Coding Tool Comparison — Codex CLI vs Claude Code vs OpenCode vs … ↗
Multi-vendor AI coding (Claude Code, Codex, Cursor, Gemini, Copilot) is structurally sticky for the next several years, and FinOps pressure grows with usage — but model prices are falling fast, which can compress ROI on routing/policy tools.Cursor vs Claude Code vs Codex CLI vs Gemini CLI 2026 ↗
Parsing 4+ proprietary log formats and building a routing/proxy layer for policy enforcement is real work, but the patterns are well-trodden (Portkey, Helicone, Langfuse); a focused team dashboard + alerts over the existing caut-style parser is a 1–2 quarter build, not trivial.GitHub - Dicklesworthstone/coding_agent_usage_tracker ↗Enterprise LLM Gateway: Coding Agent Cost Tracking 2026 ↗