Alternative
LangSmith debugs your agents. MarginDash debugs your business model.
LangSmith is built for the LangChain ecosystem — tracing, evals, prompt management. If you need a LangSmith alternative that's framework-agnostic and focused on per-customer profitability rather than agent debugging, MarginDash connects your AI costs to Stripe revenue and works with any SDK.
| Feature | LangSmith | MarginDash |
|---|---|---|
| Agent tracing/debugging | Use LangSmith for this | |
| Evaluation datasets | Use LangSmith for this | |
| Prompt Hub | Use LangSmith for this | |
| Revenue/margin per customer | Not available | |
| Stripe revenue sync | Not available | |
| Profit-leak alerts | Usage alerts only | Built-in |
| Cost simulator | Not available | |
| Framework-agnostic | LangChain-first | Any framework |
| Privacy (no prompts sent) | Full traces | By default |
No credit card required
LangSmith is a full agent development platform — tracing, debugging, evaluation datasets, prompt hub. That's engineering infrastructure. If your question is "is this customer costing me more than they pay?" — you don't need a 40-step nested trace. You need revenue minus cost, per customer, updated in real time. That's MarginDash.
LangSmith is built for the LangChain ecosystem. If you're using the OpenAI SDK directly, Anthropic's SDK, Vercel AI, or calling APIs raw — you're a second-class citizen. MarginDash is framework-agnostic by design. Pass the model name and token count after each call. That's it.
LangSmith can estimate cost per trace from token counts. But it doesn't know your Stripe coupons, your tiered pricing, or your annual credits. MarginDash syncs actual revenue data and calculates realized margin per customer — the metric that actually drives pricing and optimization decisions.
If you're building with LangChain or LangGraph and need agent tracing, debugging, and evals, LangSmith is purpose-built for that. Use it for engineering. Choose MarginDash when you need to answer the business question: which customers are profitable, and what should you charge?
No credit card required
The metric that matters
Other tools estimate cost from tokens. MarginDash reconciles actual Stripe revenue against AI costs — accounting for coupons, tiered pricing, and annual credits. You see who's profitable and who's underwater.
| Customer | Revenue | Cost | Margin | Margin % |
|---|---|---|---|---|
| Plexo Health | $233.25 | $277.20 | -$43.95 | -18.8% |
| Vantage Ops | $358.86 | $421.66 | -$62.80 | -17.5% |
| Stratos Cloud | $417.32 | $357.64 | $59.68 | 14.3% |
| Canopy Labs | $350.89 | $316.85 | $34.04 | 9.7% |
| Prism Data | $105.80 | $87.23 | $18.57 | 17.6% |
Other tools estimate cost from tokens. MarginDash reconciles cost against actual revenue. Pass revenueAmountInCents and see realized margin — not guesswork.
// After your existing AI call
md.addUsage({ vendor: "openai", model: response.model,
inputTokens: response.usage.prompt_tokens,
outputTokens: response.usage.completion_tokens });
md.track({
customerId: user.id,
eventType: "summarize",
revenueAmountInCents: subscription.amount
});Create an account, install the SDK, and see your first margin data in minutes.
See My Margin DataNo credit card required