Polymarket XTracker API and Elon Musk Tweet Count Markets: A Practical Guide

The Polymarket XTracker API gives anyone a public way to read tracked posts and profile data from prominent accounts on X. Traders use it to follow posting activity in near real time and to settle bets on how often someone like Elon Musk will post in a set window. This guide explains how the XTracker API works, how Elon Musk tweet count markets run on Polymarket, and how builders pull the data into their own tools.

You do not need an API key. Responses come back as plain JSON, so the data drops into dashboards, alert bots, and trading scripts with little effort.

What the Polymarket XTracker API Does

Polymarket runs prediction markets that ask a simple question: how many times will a public figure post during a defined period? A weekly count for a high visibility account is a common example. Settling that kind of market needs one consistent source that records posts as they happen and applies clear counting rules.

That is the job the XTracker API does. It reads posts from X, stamps each one with a creation time and an import time, and exposes both the raw records and the running totals. The Post Counter figure on xtracker.polymarket.com is the official resolution source for these markets, and traders can click Export Data to pull the exact list of posts behind any count.

The service tracks a focused set of accounts tied to active markets. Each tracked profile links out to the Polymarket events that depend on its data, so you can move from a profile to the live market in one step.

Inside the XTracker Endpoints

The API surface stays small and readable. Two calls do most of the work, and a few extra endpoints handle discovery and statistics.

Endpoint	What it returns
`/api/users/{handle}?platform=x`	Profile object with internal and platform IDs, handle, display name, verification flag, last sync time, active trackings, and a total post count
`/api/users/{handle}/posts?platform=x`	Array of recent posts with full text, source timestamp, and import timestamp; accepts `startDate`, `endDate`, and `timezone`
User list endpoint	Every tracked account with active periods and post totals
Tracking endpoints	Date ranges, targets, and stats such as daily breakdowns or completion percentage
Metrics endpoints	Aggregated daily or custom range counts

The User Profile Endpoint

Call https://xtracker.polymarket.com/api/users/elonmusk?platform=x and you get a wrapped response with a success flag and a profile object. The fields you will use most often:

Internal system ID and the original platform user ID
Handle, display name, and avatar reference
Verification flag as stored in the tracker
Last successful sync time and any recent error state
An array of active trackings, each with a market title, date range, direct link, and status
A count object with total posts recorded for that account

One call answers two questions at once. It tells you what the profile looks like and which tweet count markets are tracking that account right now. Loop through the trackings array and you can surface every live opportunity for a profile without opening Polymarket.

The Posts Endpoint

Call https://xtracker.polymarket.com/api/users/elonmusk/posts?platform=x and you get an array of recent post objects. Each entry holds:

A unique internal record ID
The user ID that ties every post to the same profile
The original platform post ID for cross reference
Full text, including reposts prefixed with RT, links, and short replies
The created timestamp from X in ISO format
The imported timestamp showing when XTracker captured the post, usually within minutes

Because the endpoint reads startDate, endDate, and timezone, you can request a historical slice instead of only the latest batch. That helps with backtesting, volume trend work, and building a full archive for one market period. The gap between created time and imported time also lets you measure how fresh the feed is and spot any short ingestion delays.

Supporting Endpoints

Beyond the two main calls, the list endpoint returns every tracked user with active periods and post totals. Dedicated tracking endpoints expose date ranges and targets, plus computed stats like daily counts or completion percentage. Metrics endpoints focus on aggregated daily or custom range totals. Together they take you from high level discovery to a post by post view inside a single market window.

How Elon Musk Tweet Count Markets Work on Polymarket

Polymarket runs several overlapping Elon Musk tweet count markets at the same time, each covering a different window. Some span three days. Others cover a full week or a calendar month.

Market Buckets

Each market uses multi outcome buckets. A weekly market might offer under 20 posts, 20 to 39, 40 to 59, and so on up past 500. Every bucket trades on its own, so the price reflects the crowd's implied probability that the final count lands in that band. You buy yes shares for a range you expect or no shares against a range you doubt. After the window closes, the verified total decides which bucket pays out at one dollar per share.

This setup rewards a read on posting cadence rather than a broad directional guess. Overlapping windows let experienced traders build spreads or hedge one window against another when the data points in different directions.

Counting Rules and Resolution

The rules stay the same across markets that reference the tracker, which keeps settlement fair. The current logic:

Main feed posts, quote posts, and reposts count toward the total.
Standard replies do not count unless they appear in the main feed view.
Deleted posts count if the tracker captured them before removal, roughly a five minute window.
The Post Counter on xtracker.polymarket.com is the primary source, with X itself as a backup if the tracker has a gap.

Because the post list is exportable, anyone can audit a result. That transparency is a big reason these markets hold deeper liquidity over time.

Recent Posting Data and Market Pricing

The numbers below come from mid June 2026 readings. Live odds move every minute, so check the open market on Polymarket before you act on any figure here.

Tracking for the seven day stretch ending near June 16 recorded 168 posts, an average of 24 per day. That sits inside the long term norm, which has held in the mid 20s per day during steady periods, with spikes during heavy news flow and quieter stretches during focused project work.

Window	Leading ranges	Rough implied probability	Notes
June 16 to June 23 (week)	180 to 199, 200 to 219	about 18% each	Total volume across buckets above $598,000
June 15 to June 17 (3 day)	40 to 64	near 50%	65 to 89 bucket around 34%
June 12 to June 19 (week)	160 to 179 / 180 to 199	contested	67 posts logged at the midpoint

Liquidity clusters around the central ranges that match typical output. Buckets below 100 posts carry heavy no side volume, which tells you the market sees a very quiet week as unlikely. Tail ranges trade thinner and wider, so they attract patient hedging flow rather than crowd interest.

What Moves Tweet Volume

A handful of catalysts shift daily output in ways you can plan around.

Company milestones at Tesla, SpaceX, or xAI tend to trigger clusters of posts and commentary.
Product reveals, launch coverage, and earnings discussion push counts above baseline.
Political and cultural moments extend threads and add main feed activity.
Travel and heads down engineering stretches produce steadier but lower volume.
Weekends and holidays usually trim daily counts, though full week totals still land near the 180 to 240 band in routine stretches.

A single viral moment can lift a count several buckets in a day, so size positions for that swing rather than for the average case.

How Developers and Traders Use XTracker

The lightweight, public responses fit into serverless functions, Telegram bots, and browser based analytics pages. Common patterns include:

Real time alerts when a new post lands for a tracked account, useful for notification bots and sentiment layers
Volume pace math that compares the current posting rate against the historical average during an open market
Keyword scanning across returned posts to spot themes that may move related event markets
Export routines that pull the exact post list for a window and present it for independent checks
Dashboard widgets that show live Polymarket odds next to the underlying post count in one view

Because import latency stays low, the gap between a post going live on X and showing up in the XTracker API is small enough for most monitoring needs.

Limits to Keep in Mind

A few characteristics shape what you can and cannot do with the data:

Responses follow a consistent envelope with a success boolean and a data payload, and errors return clear messages in the same shape.
Post objects carry no engagement metrics like likes or views, so the focus is timing and content.
The tracked list is selective, not every account. Coverage grows when new markets need it.
Cache results briefly to stay a good API citizen while keeping data fresh enough for decisions.

This post is informational and not financial advice. Tweet count markets use real money, and a single heavy posting day can flip the outcome.

Quick Start

A basic request needs only a standard HTTP client. Add the platform parameter and any date filters, then parse the JSON.

# Recent posts for a tracked account
curl "https://xtracker.polymarket.com/api/users/elonmusk/posts?platform=x"

# A historical slice for one market window
curl "https://xtracker.polymarket.com/api/users/elonmusk/posts?platform=x&startDate=2026-06-16&endDate=2026-06-23&timezone=America/New_York"

Read the data array, store the fields you care about, and compare the running count against the buckets on the live market. No keys means you can test freely.

Frequently Asked Questions

What is the Polymarket XTracker API used for? It reads tracked posts and profile data from X and supplies the Post Counter that settles tweet count markets on Polymarket.

Do Elon Musk tweet count markets count replies? No, not unless a reply shows up in the main feed view. Main feed posts, quote posts, and reposts all count.

Can I verify a market result myself? Yes. Use the posts endpoint or the Export Data option to pull the full post list for the window and recount it.