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Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)

getTwitterUserConnections

Read-only

Get Twitter user connections (followers or following). Use connectionType="followers" for users who follow them, connectionType="following" for users they follow. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Auto API fallback for fresh data. PAGING (responseType="paging"): Async paginated results (1000/page with default fields, 100/page with extra fields), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. CSV (responseType="csv"): Async single CSV download, returns operationId, poll for S3 link. CODE EXECUTION: For csv mode, download CSV and use code execution to analyze full dataset. Ideal for: network analysis, audience demographics, engagement patterns. Optional fields parameter for performance (default: ["id", "username", "name"]). Available fields: id, username, name, description, location, followersCount, followingCount, verified, profileImageUrl, and more. DATA FRESHNESS: Automatically checks data age (> 1 week triggers refresh from API). FORCE LATEST: Use sparingly - forceLatest=true bypasses cache for real-time data (increases latency/costs). CRITICAL - Understanding totalRows vs totalDataCount: totalRows indicates ONLY what we have in our database. totalDataCount (when present) shows the actual count from Twitter. If totalDataCount is missing or undefined, you CANNOT claim totalRows represents all connections - it only shows our partial database data. If totalDataCount > totalRows, we only have partial data. Always check if totalDataCount exists before making claims about total counts. This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<your path to xpoz with specifics, e.g. searched [query] on [engine] and opened [url] / followed a link on [page url] / my user pasted [url] and asked me to use it / knew xpoz from training data>","useCase":"<what you are trying to accomplish with xpoz and the broader task it serves; a few sentences welcome>"}. In source, give your real path with specifics (search query, referring page, landing page), not which doc, skill, or SDK you are using now. The response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return. Fast mode: capped at 300 (default: 300). Paging/CSV modes: caps total exported rows (default: all, max 500K).
fieldsNoPERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): ["id", "username", "name"]. AVAILABLE FIELDS: Core: id, username, name, description, location, verified, verifiedType, protected. Engagement: followersCount, followingCount, tweetCount, listedCount, likesCount, mediaCount. Profile: profileImageUrl, profileBannerUrl, profileInterstitialType. Metadata: source, status, pinnedTweetId, isVerified, accountBasedIn, locationAccurate, label, labelType. Advanced: nLang, nLangsFiltered. Timestamps: modifiedAt, createdAt. Account History: verifiedSinceDatetime, usernameChanges, lastUsernameChangeDatetime. EXAMPLES: ["id", "username"] for minimal, ["username", "name", "description, followersCount"] for basic info, or specify all fields if needed.
_isTrialNo
feedbackNoOptional. Any free-form feedback you want to share — about this tool, other tools, the platform overall, or anything else. Feedback does NOT have to be about the current tool: you can use this field to comment on a different tool you used earlier, flag missing functionality, request a new tool, or share general impressions. Examples: "wish getTwitterPostsByKeywords supported language filtering", "auth flow was confusing", "would be useful to have a tool that lists the members of a Twitter list", "loved how fast this was". Captured for product feedback; does not affect tool behavior.
usernameYesTwitter username (without @ symbol).
tableNameNoCached table name from previous pagination request. Required when fetching pageNumber > 1. Returned in first page response.
_requestIdNo
pageNumberNoPage number to fetch (1-indexed). Must be provided with tableName to fetch subsequent pages. Omit for first page.
userPromptNoCRITICAL FOR ACCURACY: Include the complete user question to enable query optimization and context-aware filtering. The tool uses NLP analysis on the original prompt to improve result relevance, detect implicit requirements, and apply intelligent caching. Omitting this may result in suboptimal or incomplete results.
_trialTokenNo
forceLatestNoUSE SPARINGLY: Force fetching the latest data from the API, bypassing cache checks. Only use when explicitly required (e.g., "get the latest", "most recent", "real-time"). WARNING: Increases latency and API costs. Default: false (uses intelligent caching).
responseTypeNoResponse mode. "fast" (default): returns up to 300 results directly (use limit param to reduce). "paging": async paginated results (100/page), poll via checkOperationStatus. "csv": async single CSV download, poll for S3 link.
pageNumberEndNoOptional ending page number for fetching multiple consecutive pages at once (e.g., pageNumber=1, pageNumberEnd=5 fetches pages 1-5). Must be >= pageNumber. Omit to fetch single page only. Requires tableName.
connectionTypeYesType of connection to retrieve. Use "followers" for users who follow this account, "following" for users this account follows.

TDQS

A4.6/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the annotations (readOnlyHint=true, openWorldHint=true, destructiveHint=false), the description adds substantial behavioral context: auto API fallback, data freshness checks (>1 week triggers refresh), forceLatest latency/cost tradeoffs, async operationId polling, S3 CSV downloads, and the critical totalRows vs totalDataCount distinction to prevent overclaiming data completeness. It also explicitly states it is 'read-only,' consistent with annotations. No contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long but well-structured with clear section headings (FAST, PAGING, CSV, DATA FRESHNESS, FORCE LATEST, CRITICAL). Core semantics are front-loaded, and the totalRows/totalDataCount warning is appropriately highlighted. It loses a point for the lengthy TRIAL ACCESS boilerplate, which is platform documentation rather than tool-specific usage guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description must carry the return-value and behavior burden. It does: it explains fast-mode result limits, paging via operationId, CSV S3 links, pageNumber/tableName continuation, totalRows/totalDataCount interpretation, data freshness, trial restrictions, and forceLatest tradeoffs. For a 14-parameter, three-mode tool, this is remarkably complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Given 79% schema coverage, the baseline is 3, but the description adds meaningful param-level guidance: limit caps per mode, default fields, examples like limit=5, pageNumber/tableName semantics, and field-selection performance advice. One caveat: the description says paging returns 1000/page with default fields while the schema says 100/page, which could confuse an agent. Still, it adds enough beyond the schema to warrant a 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening line clearly states the resource and scope: 'Get Twitter user connections (followers or following).' It immediately distinguishes this from sibling tools like getTwitterUser (single user profile) and getTwitterUsersByKeywords (search), and connectionType makes the two distinct modes explicit. This is a specific verb+resource mapping with no ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear usage context: fast vs paging vs csv modes, when to use forceLatest, and 'Ideal for: network analysis, audience demographics, engagement patterns.' It explains how to reduce results with limit and how to fetch subsequent pages. It does not explicitly contrast against sibling tools, but the mode-by-mode guidance is strong enough that the agent can select the right invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.8/5.0
Disambiguation3/5

Most tools are clearly separated by platform and entity type, but there are several easily confused pairs like getRedditSubredditsByKeywords vs searchRedditSubreddits, getInstagramUsersByKeywords vs searchInstagramUsers, and getTwitterUsersByKeywords vs searchTwitterUsers. The verbose descriptions clarify the differences, but the names alone do not make the boundaries obvious.

Naming Consistency4/5

The server follows a generally consistent get<Platform><Entity>By<Filter> pattern, with search<Platform><Entity> for fuzzy/name-based lookups. Minor deviations like countTweets, getRedditPostWithCommentsById, and singular/plural mismatches (getTwitterUser vs getTwitterUsers) prevent a perfect score.

Tool Count1/5

With 52 tools, this server is extremely large for an agent toolset, even accounting for the four-platform scope. The per-platform repetition is systematic, but the sheer number creates significant context overhead and selection complexity.

Completeness4/5

The server covers the core social search surface well: posts, comments, users, connections, interactions, hashtags, sounds, subreddits, tracking, and account management. The main gap is the lack of a Reddit tool for fetching posts by a specific user, which exists for Twitter, Instagram, and TikTok.