How to Build Real-Time public social platform Monitoring & Webhook Alert Bots

Quick Answer

A practical Serenity monitor is a polling job, not a streaming connection. Call TwexAPI POST /twitter/advanced_search/page with searchTerms: ["from:aleabitoreddit -filter:retweets -filter:replies"] and sortBy: "Latest", store the first run as a baseline, then alert only on unseen tweet_id values. Save each raw post before sending Slack, email, or webhook notifications so retries do not create duplicate alerts or lose the source data.

FAQ

Why is the first monitor run treated as a baseline?

The first search result already contains older Serenity posts. If you alert on all of them, the monitor creates noise immediately. Save their tweet_id values first, then alert only on IDs that appear after monitoring starts.

Why exclude reposts and replies from the default Serenity monitor?

For alerting, original posts are usually the strongest signal. -filter:retweets -filter:replies keeps the feed focused and reduces duplicate or low-context notifications. If your workflow also needs Serenity replies, remove -filter:replies deliberately and store that monitor separately.

How often should the monitor poll Advanced Search?

Most monitoring jobs can poll every 5 to 15 minutes. Shorter intervals reduce detection delay but increase calls and alert churn. Keep the interval, query, and baseline state in configuration so you can tune without editing code.

If Serenity publishes a market-moving public post, you may want to know before the discussion has already spread. TwexAPI's Advanced Twitter Search by Page endpoint can be polled with from:aleabitoreddit and sortBy: Latest to catch new public matches.

This is a polling workflow, not a streaming connection. The important part is state: store previously seen tweet_id values, treat the first run as a baseline, and alert only on posts that appear after the monitor is running.

Monitoring Model

Answer: Monitoring Model means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 5 Credits (about $0.05 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-20, first-party developer API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

A small monitor should do five things in order:

Fetch the latest from:aleabitoreddit results.
On the first run, seed seen_ids without sending alerts.
On later runs, compare each tweet_id with stored IDs.
Save the raw post before sending Slack, email, or webhook alerts.
Sleep for a reasonable interval, usually 5 to 15 minutes.

API Endpoint

Answer: API Endpoint is implemented by calling the TwexAPI endpoint documented in this guide with a Bearer Token; batch or paginated requests reduce overhead to ~5 credits per call at 20+ QPS.

POST https://api.twexapi.io/twitter/advanced_search/page

Authorization: Bearer <your_token>
Content-Type: application/json

curl --request POST \
  --url https://api.twexapi.io/twitter/advanced_search/page \
  --header 'Authorization: Bearer <your_token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "searchTerms": ["from:aleabitoreddit"],
    "sortBy": "Latest"
  }'

Python Polling Example

Answer: Python Polling Example means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 5 Credits (about $0.05 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-20, first-party developer API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

This example keeps seen_ids in memory to show the control flow. Use a database, Redis, or a small durable file for real monitoring.

1import time
2import requests
3
4TOKEN = "<your_token>"
5URL = "https://api.twexapi.io/twitter/advanced_search/page"
6HEADERS = {"Authorization": f"Bearer {TOKEN}"}
7seen_ids = set()
8initialized = False
9
10def fetch_latest():
11    response = requests.post(
12        URL,
13        headers=HEADERS,
14        json={"searchTerms": ["from:aleabitoreddit"], "sortBy": "Latest"},
15        timeout=30,
16    )
17    response.raise_for_status()
18    return [tweet for tweet in response.json().get("data", []) if tweet]
19
20while True:
21    latest = fetch_latest()
22
23    if not initialized:
24        seen_ids.update(tweet["tweet_id"] for tweet in latest if tweet.get("tweet_id"))
25        initialized = True
26        print(f"Initialized with {len(seen_ids)} existing posts")
27    else:
28        for tweet in reversed(latest):
29            tweet_id = tweet.get("tweet_id")
30            if tweet_id and tweet_id not in seen_ids:
31                seen_ids.add(tweet_id)
32                print("NEW", tweet_id, tweet.get("text", ""))
33
34    time.sleep(300)

Before Running in Production

Answer: Before Running in Production means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 5 Credits (about $0.05 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-20, first-party developer API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

Persist seen_ids in a database, key-value store, or durable local file instead of memory.
Decide whether the first run should seed a baseline or alert on all currently visible posts.
Run the poller every 5 to 15 minutes based on your freshness needs and credit budget.
Save the raw response before sending Slack, email, or webhook alerts.
Add alert throttling so retries do not notify the same post multiple times.
Use cashtag search separately to observe the wider public conversation.

Related Resources

Disclaimer

Answer: Disclaimer means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 5 Credits (about $0.05 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-20, first-party developer API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

This monitor surfaces public posts for research. It does not evaluate financial claims and is not investment advice.