Official LayerCall SDKs — score an IP, email, phone, domain or a whole signup for fraud in one call. Node/TypeScript, Python, CLI, Express and Next.js middleware. Zero dependencies.
git clone https://github.com/LayerCall/layercall-sdkTools overview
# LayerCall SDKs
[](https://www.npmjs.com/package/layercall)
[](https://pypi.org/project/layercall/)
[](LICENSE)
[](#)
Official clients for [LayerCall](https://www.layercall.com) — score an IP,
email, phone number, domain, or a whole signup for fraud in a single call.
| | Install | Docs |
| --- | --- | --- |
| **Node / TypeScript** | `npm i layercall` | [node/README.md](node/README.md) |
| **Python** | `pip install layercall` | [python/README.md](python/README.md) |
| **CLI** | `npx layercall ip 8.8.8.8` | below |
Both clients have **zero dependencies**. A trust check sits on your signup
path, which is the worst place in an application to introduce a dependency
tree.
[Get a free API key](https://www.layercall.com/get-key) — 1,000 lookups a
month, no card required, no daily cap.
## Try it without installing anything
```bash
export LAYERCALL_API_KEY=tl_live_...
npx layercall ip 8.8.8.8
npx layercall email someone@mailinator.com
npx layercall domain example.com
npx layercall user --ip 1.2.3.4 --email a@b.com
```
## What it returns
Every endpoint returns the same shape: a `0–100` `risk_score`, an
`allow | review | block` verdict, and the signals behind it.
```json
{
"ip": "185.220.101.1",
"risk_score": 60,
"verdict": "review",
"signals": {
"is_vpn": true,
"is_proxy": true,
"is_datacenter": true,
"is_tor": true,
"recent_abuse": false
},
"geo": { "country": "DE", "city": "Berlin", "asn": "AS60729" },
"vpn_provider": null
}
```
## Two things worth reading before you integrate
**Prefer step-up over rejection.** The `review` band starts where an ordinary
commercial VPN lands, and most VPN users are ordinary customers. Send them an
OTP or a 3-D Secure challenge instead of a refusal: a real user clears it in
seconds, an attacker cannot, and a false positive costs friction rather than a
customer. This is what Stripe Radar and Sift both converged on.
**`null` means unknown, not "no".** `newly_registered` is `null` when a TLD
publishes no RDAP (`.de`, `.ru`, `.ac.uk` among them), and `mailbox_exists` is
`null` when the mail provider does not answer honestly — Gmail and Yahoo accept
mail for addresses that do not exist. Treating either as a negative finding is
the specific mistake these fields exist to prevent.
## Endpoints
| | |
| --- | --- |
| `POST/GET /v1/score/ip` | VPN, proxy, Tor, datacenter, geo, ASN |
| `/v1/verify/email` | Syntax, MX, disposable, role account, domain age |
| `/v1/lookup/phone` | Numbering-plan validation worldwide, line type |
| `/v1/score/domain` | RDAP age, registrar, MX/SPF/DMARC, risky TLD |
| `/v1/score/device` | Device fingerprint reputation + bot probability |
| `/v1/score/user` | All of the above weighted into one verdict |
| `/v1/verify/agent` | Web Bot Auth (RFC 9421) — prove an AI agent is who it claims |
| `/v1/batch` | Up to 500 values of one type |
Full reference: [layercall.com/docs](https://www.layercall.com/docs) ·
OpenAPI 3.1: [layercall.com/openapi.json](https://www.layercall.com/openapi.json)
## Testing without spending anything
Test-mode keys return deterministic **synthetic** data, drawn from ranges
reserved for exactly this purpose — RFC 5737 addresses, `example.com`, the
555-01XX fiction block. Same shape and fields as production, so your assertions
are real ones. They never bill, never hit live data sources, and never write to
the shared reputation network.
Every fixture is documented, so you can assert on exact values rather than
"did it return a number": [layercall.com/docs/test-mode](https://www.layercall.com/docs/test-mode)
## MCP — call it from an AI agent
LayerCall speaks the Model Context Protocol over Streamable HTTP, so Claude
Code, Claude Desktop, ChatGPT, Cursor, VS Code, Windsurf and Zed can run a
fraud check mid-conversation. There is nothing to install — it is a remote
server, so you add a URL and your API key:
```json
{
"mcpServers": {
"layercall": {
"url": "https://www.layercall.com/api/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
```
Seven tools are exposed: `score_ip`, `verify_email`, `lookup_phone`,
`score_domain`, `score_device`, `verify_agent` and `score_user`.
> VS Code names the top-level key `servers`, not `mcpServers`. That one
> difference is the usual reason a copied config silently does nothing.
Per-client setup: [layercall.com/docs/mcp](https://www.layercall.com/docs/mcp)
## Framework middleware
Drop-in for the two places this usually goes. The middleware attaches
`req.trust` and leaves the decision to you:
```ts
import { layercall } from "layercall/express";
app.post("/signup", layercall(), (req, res) => {
if (req.trust.verdict === "block") return res.status(403).json({ error: "..." });
if (req.trust.verdict === "review") flagForManualReview(req.trust);
createAccount(req.body);
});
```
There is deliberately no `autoBlock: true`. A one-line install that starts
rejecting people is the wrong default for a fraud tool — the failure is silent,
it lands on real customers, and you find out from a support ticket.
By default it only scores `POST`/`PUT`/`PATCH`, because a global `app.use()`
bills a lookup for every request including `favicon.ico`.
See [node/src/express.ts](node/src/express.ts) and
[node/src/next.ts](node/src/next.ts) (`scoreRequest`, `withTrust`).
## Guides
Written for someone mid-incident rather than someone shopping. Each one ends
with what a naive version gets wrong — including the parts that need no
LayerCall at all.
- [How to stop fake signups](https://www.layercall.com/guides/stop-fake-signups)
- [How to block disposable email addresses at signup](https://www.layercall.com/guides/block-disposable-emails)
- [How to detect VPN and proxy users at signup](https://www.layercall.com/guides/detect-vpn-at-signup)
- [How to stop free trial abuse](https://www.layercall.com/guides/stop-free-trial-abuse)
- [How to add fraud checks without losing real customers](https://www.layercall.com/guides/score-signup-without-blocking-real-users)
## License
MIT
What people ask about layercall-sdk
What is LayerCall/layercall-sdk?
+
LayerCall/layercall-sdk is tools for the Claude AI ecosystem. Official LayerCall SDKs — score an IP, email, phone, domain or a whole signup for fraud in one call. Node/TypeScript, Python, CLI, Express and Next.js middleware. Zero dependencies. It has 0 GitHub stars and was last updated today.
How do I install layercall-sdk?
+
You can install layercall-sdk by cloning the repository (https://github.com/LayerCall/layercall-sdk) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is LayerCall/layercall-sdk safe to use?
+
LayerCall/layercall-sdk has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains LayerCall/layercall-sdk?
+
LayerCall/layercall-sdk is maintained by LayerCall. The last recorded GitHub activity is from today, with 0 open issues.
Are there alternatives to layercall-sdk?
+
Yes. On ClaudeWave you can browse similar tools at /categories/tools, sorted by popularity or recent activity.
Deploy layercall-sdk to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/layercall-layercall-sdk)<a href="https://claudewave.com/repo/layercall-layercall-sdk"><img src="https://claudewave.com/api/badge/layercall-layercall-sdk" alt="Featured on ClaudeWave: LayerCall/layercall-sdk" width="320" height="64" /></a>More Tools
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
An AI SKILL that provide design intelligence for building professional UI/UX multiple platforms
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.