Building an OpenClaw Agent to Automate Polymarket Monitoring and Trading

By ClickClaw Team

Guide · 6 min read

TL;DR: OpenClaw agents automate repetitive workflows on a schedule — monitoring, alerting, reporting. Manual setup requires Docker, VPS configuration, and ongoing maintenance.

TL;DR

Direct answer

You can automate Polymarket monitoring and basic trading by building a small OpenClaw agent that (1) queries the Gamma market‑data endpoints on a regular schedule, (2) applies simple trend rules, (3) places limit orders through the CLOB API when conditions are met, and (4) pushes a concise summary to a Telegram chat. The whole pipeline runs without any server management when you launch it through ClickClaw’s one‑click Telegram onboarding.

1. Business need: real‑time market insight for product decisions

Product and marketing teams at SMBs often look to prediction markets for early signals about consumer sentiment, regulatory risk, or emerging trends. Polymarket aggregates user‑generated forecasts on topics ranging from tech adoption to political outcomes.

Typical manual workflow

This process consumes 2–4 hours per week, is error‑prone, and misses rapid price movements that happen between checks. Automating the loop frees analysts to focus on interpretation rather than data collection.

2. Agent design: Prediction Market Analyst Bot

Core responsibilities

Data flow diagram (textual)

Example of a Telegram digest

3. Building the OpenClaw workflow

Below is a step‑by‑step description of the OpenClaw configuration. All code snippets are plain text; you can paste them into the OpenClaw editor or a local YAML file before uploading.

3.1 Define the schedule

schedule:

cron: "/30 *"

The cron expression runs the agent every half hour.

3.2 Set up API credentials

Create a secret file polymarket.env with:

OpenClaw loads this file automatically for any tool that references the variable names.

3.3 Fetch market data (Gamma tool)

tool: gamma_fetch

params:

endpoint: "/markets"

query:

limit: 100

status: "open"

The tool returns a JSON array of market objects.

3.4 Filter and analyze (Python step)

tool: python

code: |

import json, datetime

data = json.loads(input())

keywords = ["AI adoption", "crypto regulation"]

alerts = []

for m in data:

if any(k.lower() in m["question"].lower() for k in keywords):

prev = m.get("prev_price", 0)

cur = m["price"]

if prev and abs(cur - prev) / prev > 0.05:

alerts.append({

"id": m["id"],

"question": m["question"],

"prev": prev,

"cur": cur,

"change": round((cur - prev) / prev * 100, 1),

"volume": m["volume"]

})

output = json.dumps(alerts)

The script emits a JSON list of markets that crossed the 5 % threshold.

3.5 Optional trade execution (CLOB tool)

tool: clob_order

loop: alerts

params:

market_id: "{{item.id}}"

side: "buy"

price: "{{item.cur * 0.95}}"

size: "1000"

condition: "{{item.cur < 0.2 and item.volume > 10000}}"

The condition field ensures orders are only placed on low‑price, high‑volume markets.

3.6 Send Telegram summary (Telegram tool)

tool: telegram_send

params:

chatid: "{{telegramchat_id}}"

message: |

{% for a in alerts %}

📈 {{a.question}}

{% if a.cur < 0.2 and a.volume > 10000 %}

Action: Limit buy placed @ {{a.cur * 0.95}} USD

{% else %}

Action: No trade

{% endif %}

{% endfor %}

The templating language builds a readable bullet list for each alert.

4. Handling Polymarket rate limits

Polymarket enforces sliding‑window limits rather than hard rejections:

OpenClaw’s built‑in retry logic respects Cloudflare throttling by queuing excess calls. To stay within limits:

5. Deploying the bot with ClickClaw

Manual deployment would require a VPS, Docker, cron, and log monitoring. ClickClaw removes those steps:

You receive a confirmation message and the bot’s Telegram chat ID, ready to deliver alerts.

Set Up in Telegram

6. Cost‑benefit comparison

The automated approach saves roughly 80 % of analyst time and eliminates the need for a dedicated server. For a team that values timely market signals, the $15/month ClickClaw starter plan pays for itself after a single week of saved labor.

7. Recommendation

If your product or marketing team needs near‑real‑time insight from Polymarket,

Agent Summary

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