Easy Predict

Created By
Williams Rizzi13 hours ago
Predict the next value in a numeric series or detect anomalies via z-score. $0.01 USDC per call on Base via x402 micropayments. No API keys or accounts needed.
Overview

easy-predict is an MCP server that gives your AI agent two tools:

predict_timeseries — forecast the next value in any numeric series using automatic model selection (linear, log1p, last-delta, mean) detect_anomalies — find outliers in a numeric series using z-score analysis Each tool call costs $0.01 USDC on Base, paid automatically from your local wallet via x402 micropayments. There are no API keys, no subscriptions, and no accounts — just send data, pay per use.

Your private key never leaves your machine. The MCP server runs locally via uvx, signs the payment on-device, and only sends the signed header to the API.

Setup:

{ "mcpServers": { "easy-predict": { "command": "uvx", "args": ["easy-predict-mcp"], "env": { "WALLET_PRIVATE_KEY": "0xYOUR_KEY" } } } } You need a Base wallet with a small amount of USDC (each call costs $0.01).

Server Config

{
  "mcpServers": {
    "easy-predict": {
      "command": "uvx",
      "args": [
        "easy-predict-mcp"
      ],
      "env": {
        "WALLET_PRIVATE_KEY": "0xYOUR_KEY"
      }
    }
  }
}
Project Info
Created At
13 hours ago
Updated At
10 hours ago
Author Name
Williams Rizzi
Star
-
Language
-
License
-
Category

Recommend Servers

View All
Enigmata
@Enigmata

Enigmata MCP provides AI clients with secure access to personalized Enigmata astrological forecasts, including day, week, month, and thematic forecast contexts. Forecasts contain the percentage of favorability of any day and the probability of any event. It helps assistants retrieve structured guidance, compare forecast periods, search themes, check profile readiness, and complete required solar-location setup when needed. Tools get_mcp_capabilities - Returns metadata about the available Enigmata MCP tools and their capabilities. get_day_forecast - Returns an AI-friendly personalized day forecast. get_day_forecast_section - Returns a specific section of a day forecast, useful when a client needs smaller responses. get_week_forecast - Returns an AI-friendly personalized week forecast. get_month_forecast - Returns an AI-friendly personalized month forecast. get_theme_forecast - Returns a forecast for a selected theme, including favorability or probability context. get_theme_best_days - Returns the best days for a selected forecast theme. compare_theme_days - Compares two dates for a selected theme without returning the full theme calendar. get_theme_probability_trends - Returns the subscription-period probability trend for a selected theme. get_theme_catalog - Returns the user’s saved themes and popular available themes. search_themes - Searches forecast themes and returns ranked candidates for precise theme selection. compare_forecasts - Compares two day, week, month, or theme forecast contexts. get_profile_readiness - Returns the user’s profile and onboarding readiness for forecast access. get_solar_requirement - Checks whether a solar meeting city is required for the user’s forecast flow. search_cities - Searches cities that can be used as a solar meeting place. submit_solar_place - Submits the user’s solar meeting city when it is required to unlock or update forecasts.

9 hours ago
Tavily Mcp
@tavily-ai

JavaScript
a year ago
Agentdocs

4 hours ago