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polymarket-monitor

polymarket-monitor

github.com/mjunaidcaOther98215 installsUpdated 35w ago
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About polymarket-monitor

A read-only Polymarket monitoring skill for users tracking token prices and market conditions. It polls one or multiple markets and emits JSON alerts or snapshots without requiring API keys.

Key features

  1. 01Threshold-based price alerts
  2. 02Polling across multiple tokens
  3. 03Single-market snapshots
  4. 04Spread and order-book summaries
  5. 05Configurable polling intervals

Use cases

  1. 01Alert on price moves across selected markets
  2. 02Watch one market's spread and depth
  3. 03Track market conditions without API credentials

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/mjunaidca/polymarket-skills --skill polymarket-monitor

After installing, type/polymarket-monitorin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
monitoring-guide.md
scripts/
monitor_prices.py
watch_market.py

Details

From the project README

Polymarket Monitor

Monitor live Polymarket prediction markets for price changes, volume spikes, and spread movements. Outputs structured JSON alerts when thresholds are crossed. All endpoints are read-only and require no API keys.

Prerequisite: This skill uses token IDs from the polymarket-scanner skill. Run scan_markets.py first to discover markets and obtain token IDs.

Quick Start

All scripts require the Python venv at /home/verticalclaw/.venv.

Monitor Multiple Markets for Price Alerts
source /home/verticalclaw/.venv/bin/activate && python polymarket-monitor/scripts/monitor_prices.py \
  --token-id "<TOKEN_ID_1>" \
  --token-id "<TOKEN_ID_2>" \
  --interval 30 \
  --threshold 5.0

This polls every 30 seconds and prints a JSON alert whenever a token's midpoint moves more than 5% from its baseline.

Watch a Single Market Live
source /home/verticalclaw/.venv/bin/activate && python polymarket-monitor/scripts/watch_market.py \
  --token-id "<TOKEN_ID>" \
  --interval 15

Prints a JSON snapshot every 15 seconds with price, spread, and order book depth.

Scripts

monitor_prices.py

Polls multiple tokens at a set interval and emits JSON alerts when price changes exceed a threshold.

Arguments:

  • --token-id ID — CLOB token ID to monitor (repeatable, at least one required)
  • --interval N — Polling interval in seconds (default: 30, minimum: 5)
  • --threshold N — Percentage change to trigger an alert (default: 5.0)
  • --max-polls N — Stop after N polls (default: unlimited, use for non-interactive runs)
  • --baseline-window N — Number of recent prices to average for baseline (default: 1, meaning compare to last poll)

Output: One JSON object per line for each alert:

{
  "type": "price_alert",
  "token_id": "...",
  "timestamp": "2026-02-26T12:00:00Z",
  "current_price": 0.65,
  "baseline_price": 0.60,
  "change_pct": 8.33,
  "direction": "up",
  "spread": 0.02,
  "poll_number": 5
}

Non-alert polls print a status line to stderr so the agent knows monitoring is active.

watch_market.py

Continuously monitors a single market, printing a JSON snapshot each interval with price, spread, volume, and order book summary.

Arguments:

  • --token-id ID — CLOB token ID to watch (required)
  • --interval N — Snapshot interval in seconds (default: 15, minimum: 5)
  • --max-polls N — Stop after N snapshots (default: unlimited)

Output: One JSON object per line per snapshot:

{
  "type": "market_snapshot",
  "token_id": "...",
  "timestamp": "2026-02-26T12:00:00Z",
  "midpoint": 0.55,
  "best_bid": 0.54,
  "best_ask": 0.56,
  "spread": 0.02,
  "bid_depth": 15000.0,
  "ask_depth": 12000.0,
  "last_trade_price": 0.55,
  "last_trade_side": "BUY",
  "poll_number": 1
}

Data Flow

  1. Run polymarket-scanner/scripts/scan_markets.py to find markets and get token IDs
  2. Pass token IDs to monitor_prices.py for multi-market alerting
  3. Or pass a single token ID to watch_market.py for detailed single-market tracking

Monitoring Guide

For recommended thresholds by market type and advanced monitoring strategies, see references/monitoring-guide.md.

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