Marginal
Track every LLM call's cost and slice it by customer, feature, model, any field you define.
Quick answer
What is Marginal?
At a glance
- Category
- Hosting & Devtools
- Pricing
- Paid
- Starting price
- Not disclosed
- Free tier
- No
- Platforms
- Not disclosed
- Launched
- Not disclosed
- Company
- Not disclosed
About Marginal
Track every LLM call's cost and slice it by customer, feature, model, any field you define. Marginal tracks the cost of every LLM call and slices it by the fields you care about, customer, feature, model. Cost is computed server-side, usage in, dollars out. Every API request is logged with its outcome, accepted counts, rejected events and why, stripped keys, unpriced models. The SDKs are zero-dependency, buffered, fire-and-forget: track() never throws and never blocks your request path.
From the community
User reviews
No user reviews yet. Be the first to share your experience with Marginal.
Alternatives
Similar to Marginal
OctoLoops
Always-on agents that watch for the moment a company becomes worth contacting, find the right person there, and draft the message. Free plan from your URL, no account needed.
SynCodeLive
A real-time collaborative code editor with an AI reviewer in every session. Share a URL, code together live, run JS and Python in-browser. No signup, free.
Scalix World
Scalix World is the AI-native neocloud: database, AI inference, functions, containers, and storage on one platform, operable by humans and AI agents.
HeimWall
Signal, not surveillance. See how your engineers use Cursor, Claude Code, and Copilot: catch leaked secrets, PII, and confidential data, without blocking them or reading...
Getsocialclaw
The SocialClaw social media CLI posts and schedules to X, LinkedIn, Instagram, TikTok, YouTube, and more from your terminal. JSON output, schedule files in git, validation...
Forth MCP
Works with Claude, ChatGPT, and any MCP client Give any AI client access to.
Techavy is reader supported. When you buy through links on our site we may earn an affiliate commission. This never changes our ratings or what we recommend. See our methodology.