Easy Predict
FreeNot checkedMCP server for easy-predict.com — time series prediction and anomaly detection with automatic x402 micropayments on Base.
About
MCP server for easy-predict.com — time series prediction and anomaly detection with automatic x402 micropayments on Base.
README
Agent-first prediction and anomaly detection API. Send a list of numbers, get the next predicted value or a list of anomalous points. Paid per call via x402 v2 micropayments — $0.01 USDC on Base. No API keys, no accounts.
Live at easy-predict.com
Endpoints
| Method | Path | Cost | Description |
|---|---|---|---|
| POST | /timeseries |
$0.01 USDC | Predict the next value in a numeric series |
| POST | /anomaly-detection |
$0.01 USDC | Detect anomalies via z-score |
| GET | /.well-known/x402 |
free | x402 v2 resource discovery |
| GET | /openapi.json |
free | OpenAPI 3.1 spec |
| GET | /llms.txt |
free | Human/agent-readable API docs |
POST /timeseries
curl https://easy-predict.com/timeseries \
-H "Content-Type: application/json" \
-H "PAYMENT-SIGNATURE: <signed-x402-payload>" \
-d '{"series": [1.0, 2.3, 4.1, 6.8, 9.2], "context": "monthly revenue USD"}'
Response:
{
"prediction": 12.1,
"method": "linear",
"holdout_errors": {"linear": 0.05, "log1p-linear": 0.31, "last-delta": 0.05, "mean": 3.5},
"slope": 1.94,
"intercept": 0.12
}
Model selection: holds out the last point, evaluates linear, log1p-linear, last-delta, and mean against it, retrains the winner on the full series.
POST /anomaly-detection
curl https://easy-predict.com/anomaly-detection \
-H "Content-Type: application/json" \
-H "PAYMENT-SIGNATURE: <signed-x402-payload>" \
-d '{"series": [1.0, 2.3, 4.1, 6.8, 99.0], "threshold": 2.0}'
Response:
{
"anomalies": [{"index": 4, "value": 99.0, "z_score": 2.14}],
"method": "z-score",
"mean": 15.12,
"std": 39.18,
"threshold": 2.0
}
Both endpoints accept an optional "context" string (max 200 chars) echoed back in the response.
x402 payment flow
Omit the payment header to get a 402 with the full payment terms:
{
"x402Version": 2,
"error": "Payment Required",
"accepts": [{
"scheme": "exact",
"network": "eip155:8453",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "10000",
"payTo": "0xc99b83818c8865340AC55C45554f377f41c68DBC",
"maxTimeoutSeconds": 60
}]
}
- Parse
accepts[0]from the 402 response - Sign a payment payload with your wallet
- Base64-encode the signed JSON and retry with
PAYMENT-SIGNATURE: <encoded> - The Cloudflare Worker verifies via
https://x402.org/facilitatorand settles on-chain
Payment: 10000 atomic units = $0.01 USDC (6 decimals) on Base mainnet.
MCP server (Claude Desktop, Cursor, Windsurf)
The MCP server runs locally on your machine. Your wallet private key never leaves your device — it signs the x402 payment locally and only the signed header is sent to easy-predict.com.
Add to your MCP client config:
{
"mcpServers": {
"easy-predict": {
"command": "uvx",
"args": ["easy-predict-mcp"],
"env": {
"WALLET_PRIVATE_KEY": "0xYOUR_WALLET_PRIVATE_KEY"
}
}
}
}
Then ask Claude: "Predict the next value for this series: 1.2, 2.4, 4.1, 6.8" — it calls the tool, pays $0.01 USDC from your wallet automatically, and returns the forecast.
Listed on Smithery — search easy-predict to install with one click.
Agent integration (Python)
A working Claude agent that handles the full 402 → sign → retry loop autonomously:
pip install anthropic requests eth-account
ANTHROPIC_API_KEY=sk-... WALLET_PRIVATE_KEY=0x... python examples/demo_agent.py
examples/demo_agent.py — uses Anthropic tool use. The same pattern works with LangChain, LlamaIndex, CrewAI, or AutoGen.
Demo mode (no wallet, against local server):
cd timeseries && python app.py &
ANTHROPIC_API_KEY=sk-... python examples/demo_agent.py
Architecture
- Cloudflare Worker (
src/index.ts) — edge runtime, rate limiting, full x402 verify+settle via the facilitator - Flask backend (
timeseries/app.py) — Python prediction logic, local dev server - Static assets (
public/) — splash page,openapi.json,llms.txt
The Worker handles all production traffic. The Flask app is used for local development and runs on port 8000.
Local development
pip install -r requirements.txt
cd timeseries && python app.py # Flask on http://localhost:8000
The local Flask server uses presence-only payment checking — any non-empty PAYMENT-SIGNATURE header is accepted. Useful for testing without a real wallet.
For the Cloudflare Worker:
npm install
npx wrangler dev # Worker on http://localhost:8787
Repo structure
timeseries/app.py Flask backend (prediction + anomaly detection logic)
anomaly_detection/app.py Anomaly detection blueprint
src/index.ts Cloudflare Worker (edge runtime)
mcp_server/easy_predict_mcp/server.py MCP server — runs locally, signs payments on device
mcp_server/pyproject.toml PyPI package definition (easy-predict-mcp)
smithery.yaml Smithery registry config
public/
index.html Splash page
openapi.json OpenAPI 3.1 spec
llms.txt Human/agent-readable docs
examples/
demo_agent.py Claude agent integration demo with x402 payments
tests/ Test suite
Configuration
Flask backend env vars (all optional):
| Variable | Default | Description |
|---|---|---|
PAY_TO_ADDRESS |
0xc99b... |
Recipient wallet |
X402_ASSET |
USDC on Base | ERC-20 asset address |
X402_NETWORK |
eip155:8453 |
Chain ID |
X402_MAX_AMOUNT |
10000 |
Atomic units ($0.01) |
FACILITATOR_URL |
https://x402.org/facilitator |
x402 facilitator |
PUBLIC_BASE_URL |
https://easy-predict.com |
Base URL for resource URLs in 402 responses |
Installing Easy Predict
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/WilliamsRizzi/easy-predictFAQ
Is Easy Predict MCP free?
Yes, Easy Predict MCP is free — one-click install via Unyly at no cost.
Does Easy Predict need an API key?
No, Easy Predict runs without API keys or environment variables.
Is Easy Predict hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Easy Predict in Claude Desktop, Claude Code or Cursor?
Open Easy Predict on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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