AI Cost Visibility for Engineering

Your Developers Use AI Daily. Do You Know What It Costs?

SpendLens gives engineering teams real visibility into AI coding tool costs — per-developer attribution, team budgets, and full audit trail across Claude Code, Cursor, and Copilot.

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DEVELOPER AI TOOLS Claude Code · Cursor · Copilot Cost Tracking Layer SPENDLENS PROXY SpendLens Cost Tracking Engine OPA POLICY COST TRACK BUDGET CAP ROUTE OpenAI Claude Gemini Mistral Llama ECS AUDIT TRAIL Per-Developer Cost Attribution Elasticsearch · ClickHouse · Kibana
AI Economics

The Hidden Cost of AI Coding Tools

The numbers most engineering leaders discover only after the monthly bill arrives.

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AI spend driven by a small group of power-user developers
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Difference in AI usage across developers on the same team
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Engineering teams with per-developer AI cost attribution today
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AI cost reduction achievable with visibility and budget controls
The Gap

AI Tool Adoption Scaled Fast.
Cost Visibility Didn't.

Current Reality
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AI tool costs appear only after the monthly bill arrives
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No idea which developers or teams drive the spend
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No per-developer or per-team cost attribution
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No budget controls — any developer can run up unlimited costs
With SpendLens
See exactly which developers and teams drive AI spend
Real-time per-developer cost attribution across all AI tools
Set team budgets and usage caps enforced at the proxy
Full audit trail — every request, every token, every dollar
Architecture

How SpendLens Works

A transparent proxy between your developers' AI tools and every LLM provider. Zero code changes required.

DEVELOPER AI TOOLS Claude Code · Cursor · Copilot SPENDLENS PROXY SpendLens Cost Tracking Engine CLASSIFY OPA POLICY ROUTE TRACK AUDIT Token extraction · Cost computation · SSE streaming support OpenAI Claude Gemini Mistral Llama ECS NDJSON AUDIT TRAIL Per-Developer Cost & Usage Analytics Elasticsearch · ClickHouse · Kibana Dashboard

Connect in One Command

Developers run eval $(spendlens connect) or launch the interactive shell. A local header-injection proxy redirects AI tool traffic through SpendLens transparently — no code changes, no config files to edit.

Track Every Token, Every Developer

The proxy extracts token usage from every response — including SSE streaming chunks. SpendLens computes cost from a 17-model pricing table and attributes it to the exact developer, team, and tool in real time.

Enforce Team Budgets at the Gateway

OPA policy checks run before every request reaches the LLM. SpendLens enforces team budgets, per-developer usage caps, and model restrictions at the gateway — overspend is blocked, not just reported after the fact.

Audit Everything, Store Nothing Sensitive

Every request emits an ECS-compliant NDJSON audit event with SHA-256 body hashes — never raw prompts, never API keys. Queryable in Elasticsearch, ClickHouse, or your existing SIEM within seconds.

Product Capabilities

Know What Your Engineering
Team's AI Actually Costs

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Per-Developer Cost Attribution

See exactly what each developer costs across Claude Code, Cursor, Copilot, and any LLM-powered tool. Token-level tracking with cost computation from a 17-model pricing table — attributed to the specific developer, team, and session.

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Team-Level AI Observability

Real-time dashboards showing AI spend by team, developer, model, and tool. Extracts usage from both standard JSON responses and SSE streaming chunks — with burn rate tracking and runway estimates built in.

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Team Budget Guardrails

Budget enforcement at the gateway — not after the bill arrives. OPA preflight checks block over-budget requests before they reach the LLM. Set per-team budgets, per-developer caps, and model restrictions in version-controlled Rego policies.

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Engineering AI Cost Dashboard

ECS-compliant audit events flow into Elasticsearch and ClickHouse for real-time Kibana dashboards. See cost by developer, team, model, and tool — with burn rate tracking, runway estimates, and budget utilization alerts.

Who It's For

Built for the People Who
Own Engineering AI Spend

SpendLens gives each stakeholder the view they need to understand and control developer AI costs.

CTO / VP Engineering
Finally See What Your Team's AI Tools Actually Cost

Your developers adopted Claude Code and Cursor overnight. Now you need to know the cost. SpendLens gives you per-developer, per-team attribution — with budget controls that prevent surprise bills without slowing anyone down.

Engineering AI Spend Overview
AI requests today12,847
Active developers34
Today's AI spend$2,180
Avg cost / developer$64/day
CFO / Finance
Turn AI Tool Spend into a Predictable Line Item

Right now, AI coding tool costs show up as a single line on the Anthropic or OpenAI invoice. SpendLens breaks it down by team, developer, and model — so you can forecast accurately and set budgets that engineering actually follows.

Kibana — Monthly AI Tool Spend
Total AI spend (MTD)$48,230
Top team: Platform$14,690
Burn rate~$2,180/day
Monthly budget used72%
Engineering Manager
Understand Your Team's AI Tool Usage and Spend

See who on your team uses which AI tools and how much it costs. Identify high-spend developers, compare across tools (Claude Code vs Cursor vs Copilot), and make informed decisions about which AI tools to standardize on.

ClickHouse — Team AI Cost Breakdown
@alice — Claude Code$89/day
@bob — Cursor$42/day
@carol — Copilot$18/day
Team budget used55%
Limited Early Access

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Join the early access list and finally know what your engineering team's AI tools actually cost.

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