Your AI infrastructure
is leaking money.
Tokenistt — AI cost management startup and LLM spend observability platform for engineering teams. Monitor token usage, reduce Claude API costs, and optimize prompts before production.
Tokenistt gives engineering teams real-time visibility into token usage, prompt inefficiencies, caching opportunities and LLM spend — before requests hit production.
Every dollar. Every team. Every minute.
One pane of glass for AI spend across your organization. Real-time attribution by workspace, model, route, and request — with anomaly detection on every metric.
Live token streams. Forensic-grade traces.
Every request your apps send to Claude is captured, classified, costed, and indexed. Slice by route, by user, by model — answer cost questions in seconds, not days.
Inspect every token across every workload.
Tokenistt parses every prompt routed through your infrastructure — input cost, output prediction, cache eligibility, model fit — in under 2ms, at the edge of every request.
Production prompts leak 60–80% of every dollar.
Tokenistt classifies waste at the byte level across your entire fleet — repeated headers, ungrounded context, verbose framing, unconstrained output.
Same intent. 73% fewer tokens. Zero regressions.
Our LLM-grade rewriter preserves meaning and constrains output, then verifies behavioral equivalence on your eval set before promoting to production.
Tokenize, classify each region by purpose: framing, instruction, context, output.
Strip filler, compress instructions, enforce schema, propose minimal viable form.
Run candidate against your test set. Measure semantic + behavioral equivalence.
Promote to production with one command. Rollback in 1 click if metrics drift.
Pay 10× less for what you say twice.
Tokenistt detects every cache-eligible region in your prompt, models the write/read economics against Anthropic's thresholds, and tells you exactly which blocks to mark.
Centrally govern AI infrastructure across every workspace.
Cost caps, model whitelists, prompt policies, key rotation, and full audit trails — set once, enforced everywhere.
Infrastructure-grade. By default.
Tokenistt runs in your VPC, with your keys, on your terms. SOC 2 Type II, ISO 27001, region pinning, no prompt logging by default.
One install. Every Claude surface.
Tokenistt ships as a Model Context Protocol server. Drop it into any MCP-compatible host and every prompt routed through it gets analyzed, optimized, and cached automatically.
Inline cost intelligence in your editor.
The Tokenistt extension lights up every prompt-shaped string in your codebase — token counts in the gutter, model recommendations on hover, optimization at a keystroke.
See tokens beside every prompt-shaped literal.
Cost, best model, cache eligibility on mouseover.
⌘. to apply Tokenistt rewrites in place.
30-day rolling cost and projected savings.
Engineers building infrastructure for the next generation of AI systems.
Pricing that scales with your AI infrastructure.
From individual engineers to organization-wide AI platform teams. Tokenistt typically pays for itself in the first week of production traffic.
For engineers exploring prompt economics and token visibility.
For AI engineering teams running Claude across multiple workloads.
For platform teams operating Claude at scale across the organization.