# TimeLooker

> Use this tool when you need to automate web monitoring tasks, such as tracking job postings, product releases, or academic opportunities, and receive notifications of changes or new results. TimeLooker solves problems of manual search and detection by using AI-powered duplicate detection and automated email notifications. It takes in user-created monitoring tasks with specified search intervals and payment details, and outputs email notifications of genuinely new results, making it ideal for scenarios requiring intelligent and paid automated web surveillance.

Canonical page: https://skillsregistry.net/skills/fortnightly-devs-timelooker  
JSON: https://api.skillsregistry.net/v1/skills/fortnightly-devs-timelooker

## Description

TimeLooker is an intelligent web monitoring system that combines MCP server capabilities with AWS Lambda deployment for automated search task execution and change detection. Built by fortnightly-devs using Python with Anthropic Claude API integration, it enables users to create paid monitoring tasks through x402 payment protocol that automatically search the web at specified intervals, use AI-powered duplicate detection to identify genuinely new results, and send email notifications when changes are found. The implementation features both local SQLite and cloud PostgreSQL database support, dynamic Lambda function deployment with EventBridge scheduling, SES email templating, and a FastAPI service layer, making it valuable for job search monitoring, product release tracking, academic opportunity discovery, and any scenario requiring intelligent automated web surveillance with payment-gated task creation.

## Trust

- **Trust score (0–1):** 0.17
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/fortnightly-devs-timelooker)
- **Repository:** <https://github.com/fortnightly-devs/mcp-x402-task-scheduler>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "fortnightly-devs-timelooker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fortnightly-devs-timelooker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fortnightly-devs-timelooker/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt