| name | xpoz-best-practices |
| version | "2026-06-10T00:00:00.000Z" |
| description | Reference guide for using Xpoz effectively. Load this skill whenever working with Xpoz MCP tools, SDKs, or CLI — it ensures correct query syntax, optimal field selection, proper pagination, and best practices for every Xpoz interaction. Covers authentication, query syntax (boolean operators, date filtering), response modes (fast/paging/CSV), field selection, tracking setup, and all platform tool references (Twitter, Instagram, Reddit, TikTok). Use for ANY Xpoz-related work, not just explicit best-practices questions. |
| allowed-tools | Bash(xpoz-cli *) |
Xpoz Best Practices
Overview
Xpoz is a social media intelligence platform providing access to Twitter/X, Instagram, Reddit, and TikTok data through MCP tools, Python SDK, TypeScript SDK, and CLI — no social media API keys required.
When to Use
Load this skill for any Xpoz interaction — not just when the user explicitly asks about best practices. It provides the context needed to use Xpoz tools correctly:
- Calling any Xpoz MCP tool (query syntax, field selection, response modes)
- Writing code with the Python or TypeScript SDK
- Using the Xpoz CLI
- Setting up authentication or tracking
- Troubleshooting errors or empty results
- Choosing which tool to use for a specific task
Quick Start
MCP — add the Xpoz MCP server to your agent's config. The server URL is https://mcp.xpoz.ai/mcp. Most MCP clients handle OAuth automatically on first tool call.
Example for Claude Code (~/.claude.json):
{
"mcpServers": {
"xpoz": {
"url": "https://mcp.xpoz.ai/mcp",
"transport": "streamable-http"
}
}
}
Python SDK:
pip install xpoz
from xpoz import XpozClient
client = XpozClient()
results = client.twitter.search_posts("artificial intelligence")
print(f"Found {results.pagination.total_rows:,} tweets")
client.close()
TypeScript SDK:
npm install @xpoz/xpoz
import { XpozClient } from "@xpoz/xpoz";
const client = new XpozClient();
await client.connect();
const results = await client.twitter.searchPosts("artificial intelligence");
console.log(`Found ${results.pagination.totalRows.toLocaleString()} tweets`);
await client.close();
CLI:
pip install xpoz-cli
xpoz-cli twitter search_posts --query "artificial intelligence" --limit 20
See references/authentication.md for detailed auth flows (MCP, SDK, CLI).
See references/sdk.md for complete Python & TypeScript SDK reference.
See references/cli.md for CLI installation, commands, and rendering modes.
Query Syntax
All keyword search tools support boolean query syntax:
| Operator | Example | Effect |
|---|
| Exact phrase | "machine learning" | Matches exact phrase |
| OR | "AI" OR "artificial intelligence" | Matches either term |
| AND | "Tesla" AND "earnings" | Matches both terms |
| Grouping | ("deep learning" OR "neural network") AND python | Combines operators |
Date filtering: Use startDate / endDate in YYYY-MM-DD format. Omit to use defaults (varies by tool).
Content filtering (Twitter only): Set filterOutRetweets: true to exclude retweets.
Forbidden in query string: from:, to:, lang:, since:, until:, filter: — use dedicated parameters instead.
Platform Quick Reference
Twitter/X (13 tools)
| Tool | Purpose |
|---|
getTwitterUser / getTwitterUsers | Look up 1-100 users by ID or username |
searchTwitterUsers | Fuzzy search users by name |
getTwitterUserConnections | Get followers or following |
getTwitterUsersByKeywords | Find users who posted about a topic |
getTwitterPostsByIds | Get 1-100 posts by ID |
getTwitterPostsByAuthor | Get all posts from a username |
getTwitterPostsByKeywords | Search posts by keywords |
getTwitterPostRetweets | Get retweets of a post |
getTwitterPostQuotes | Get quote tweets of a post |
getTwitterPostComments | Get replies to a post |
getTwitterPostInteractingUsers | Get commenters, quoters, or retweeters |
countTweets | Count tweets matching a phrase |
See references/twitter.md for all parameters, fields, and examples.
Instagram (9 tools)
| Tool | Purpose |
|---|
getInstagramUser | Look up user by ID or username |
searchInstagramUsers | Fuzzy search users by name |
getInstagramUserConnections | Get followers or following |
getInstagramUsersByKeywords | Find users who posted about a topic |
getInstagramPostInteractingUsers | Get commenters or likers of a post |
getInstagramPostsByIds | Get posts by strong_id |
getInstagramPostsByUser | Get posts from a user |
getInstagramPostsByKeywords | Search posts by keywords in captions/subtitles |
getInstagramCommentsByPostId | Get comments on a post |
See references/instagram.md for all parameters, fields, and examples.
Reddit (9 tools)
| Tool | Purpose |
|---|
getRedditUser | Look up user by username |
searchRedditUsers | Fuzzy search users by name |
getRedditUsersByKeywords | Find users who posted about a topic |
getRedditPostsByKeywords | Search posts by keywords |
getRedditPostWithCommentsById | Get a post with all its comments |
getRedditCommentsByKeywords | Search comments by keywords |
searchRedditSubreddits | Search subreddits by name |
getRedditSubredditWithPostsByName | Get subreddit details with posts |
getRedditSubredditsByKeywords | Search subreddits by keyword in description |
See references/reddit.md for all parameters, fields, and examples.
TikTok (9 tools)
| Tool | Purpose |
|---|
getTiktokUser | Look up user by ID or username |
searchTiktokUsers | Fuzzy search users by name |
getTiktokUsersByKeywords | Find users who posted about a topic |
getTiktokUsersByHashtags | Find users who used specific hashtags |
getTiktokPostsByIds | Get posts by ID |
getTiktokPostsByUser | Get posts from a user |
getTiktokPostsByKeywords | Search posts by keywords |
getTiktokPostsByHashtags | Search posts by hashtags |
getTiktokCommentsByPostId | Get comments on a post |
See references/tiktok.md for all parameters, fields, and examples.
Tracking
Setting up tracking is a best practice for getting more complete data from Xpoz. Tracked items are crawled regularly in the background, which means:
- Better coverage — continuous collection captures posts and activity that a single point-in-time query might miss
- More complete data — tracked items accumulate data over time, giving you a fuller picture than one-off queries
Track keywords, users, subreddits, and hashtags across all 4 platforms.
Supported types per platform:
| Platform | keyword | user | subreddit | hashtag |
|---|
| Twitter | Yes | Yes | — | — |
| Instagram | Yes | Yes | — | — |
| Reddit | Yes | Yes | Yes | — |
| TikTok | Yes | Yes | — | Yes |
View current tracking:
MCP: call getTrackedItems
Python: client.tracking.get_tracked_items()
TypeScript: await client.tracking.getTrackedItems()
CLI: xpoz-cli tracking get_tracked_items
Add tracked items:
MCP: call addTrackedItems with items: [{ phrase: "AI agents", type: "keyword", platform: "twitter" }]
Python: client.tracking.add_tracked_items([{ "phrase": "AI agents", "type": "keyword", "platform": "twitter" }])
TypeScript: await client.tracking.addTrackedItems([{ phrase: "AI agents", type: "keyword", platform: "twitter" }])
CLI: xpoz-cli tracking add_tracked_items --items '[{"phrase": "AI agents", "type": "keyword", "platform": "twitter"}]'
Remove tracked items:
MCP: call removeTrackedItems with items: [{ phrase: "AI agents", type: "keyword", platform: "twitter" }]
Python: client.tracking.remove_tracked_items([...])
TypeScript: await client.tracking.removeTrackedItems([...])
CLI: xpoz-cli tracking remove_tracked_items --items '[{"phrase": "AI agents", "type": "keyword", "platform": "twitter"}]'
See xpoz-social-tracking for full tracking workflows and advanced patterns.
Response Modes
All paginated tools support three response modes via responseType:
| Mode | Behavior | Best For |
|---|
"fast" (default) | Returns up to 300 results immediately | Quick lookups, exploration |
"paging" | Async — returns operationId, poll with checkOperationStatus | Large datasets, page-by-page |
"csv" | Async CSV export to S3 — returns download URL | Bulk export, offline analysis |
See references/pagination-and-export.md for async polling patterns, pagination, and CSV export details.
Field Selection
Pass fields to request only the data you need. This reduces response size and improves performance.
MCP: fields: ["id", "text", "authorUsername", "likeCount"]
Python: fields=["id", "text", "author_username", "like_count"]
TypeScript: fields: ["id", "text", "authorUsername", "likeCount"]
CLI: --fields id text author_username like_count
Each platform has different available fields — see the platform-specific references for complete field lists.
Common Patterns
Search → Analyze → Export:
- Search posts by keywords (fast mode) to preview results
- Analyze engagement, sentiment, or themes
- Export full dataset to CSV for deeper analysis
Find Users → Get Their Posts → Analyze:
- Search users by keywords to find relevant accounts
- Get posts by author for top accounts
- Analyze content patterns, posting frequency, engagement
Data Freshness:
- Data is cached in Xpoz's database with automatic API fallback when stale — results are kept fresh automatically
- Use
forceLatest: true to bypass cache and force a live fetch (increases latency and cost)
Troubleshooting
| Problem | Solution |
|---|
| MCP: "Unauthorized" | Re-run OAuth flow — see references/authentication.md |
SDK: AuthenticationError | Verify key at xpoz.ai/settings |
| Empty results | Check query syntax, widen date range, try different keywords |
| Stale data | Use forceLatest: true to bypass cache |
| Operation timeout | Keep polling checkOperationStatus every ~5s until status is no longer running |
| Token exchange fails | Ask user to re-authorize — codes are single-use |
Detailed Guides
For complete parameters, response fields, patterns, and examples:
- references/authentication.md — Auth flows for MCP, SDK (API key), CLI
- references/sdk.md — Python & TypeScript SDK: setup, namespaces, pagination helpers, async patterns
- references/cli.md — CLI installation, command structure, rendering modes, examples
- references/pagination-and-export.md — Response modes, operationId polling, CSV export, field selection
- references/twitter.md — All 13 Twitter tools with parameters, fields, and examples
- references/instagram.md — All 9 Instagram tools with parameters, fields, and examples
- references/reddit.md — All 9 Reddit tools with parameters, fields, and examples
- references/tiktok.md — All 9 TikTok tools with parameters, fields, and examples
Example Prompts
- "How do I search for tweets about AI?"
- "What fields are available for Instagram posts?"
- "How do I export Reddit data to CSV?"
- "Set up tracking for my brand across all platforms"
- "How do I paginate through large result sets?"
- "What's the difference between fast mode and paging mode?"
- "How do I authenticate with the Xpoz Python SDK?"
- "Show me all available TikTok tools"