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

getInstagramPostInteractingUsers

Read-only

Get USER PROFILES of people who interacted with an Instagram post. Returns full user data (bio, followerCount, followingCount, etc.). RETURNS USER PROFILES: id, username, fullName, biography, followerCount, followingCount, isVerified, profilePicUrl. Use for analyzing WHO engaged with a post. NOT FOR COMMENT TEXT: To read the actual comment content (what people wrote), use getInstagramCommentsByPostId instead. INTERACTION TYPES: "commenters" (users who commented), "likers" (users who liked). WHEN TO USE THIS TOOL: Analyzing commenters/likers demographics, finding influencers who engaged, building audience profiles, network analysis of who interacts with posts. WHEN TO USE getInstagramCommentsByPostId: Reading comment text, sentiment analysis of what was said, analyzing discussion content. 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 commenters when stale. PAGING (responseType="paging"): Async paginated results (1000 users per page with default fields), returns operationId - IMMEDIATELY call checkOperationStatus to get results. CSV export included via dataDumpExportOperationId. Supports pageNumber/tableName for subsequent pages. Optional fields (default: ["id", "username", "fullName"]). Available: biography, isPrivate, isVerified, followerCount, followingCount, mediaCount, profilePicUrl. 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", "fullName"]. AVAILABLE FIELDS: Core: id, username, fullName, biography, isPrivate, isVerified. Engagement: followerCount, followingCount, mediaCount. Profile: profilePicUrl, profilePicId, profileUrl, externalUrl, hasAnonymousProfilePicture. EXAMPLES: ["id", "username"] for minimal, ["username", "fullName", "followerCount"] for basic info, or specify all fields if needed.
postIdYesREQUIRED FORMAT: strong_id (e.g., "3606450040306139062_4836333238"). This is the complete post identifier consisting of media_id + underscore + user_id. When receiving the post id from other instagram tools, use the full "id" valueDO NOT use only the media_id portion.
_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.
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.
interactionTypeYesType of interaction to retrieve users for. Options: "commenters" (users who commented on the post), "likers" (users who liked the post). Each type queries different relationships in the data.

TDQS

A4.4/5.0
Behavior4/5

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

With annotations already declaring readOnlyHint and destructiveHint, the description adds meaningful behavior: fast vs paging modes, 300-result cap, async operationId flow, CSV export, auto API fallback for commenters, and trial limitations. However, it internally states 1000 users per page in paging mode while the schema says 100/page, which slightly undermines the otherwise strong transparency.

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

Conciseness3/5

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

The description is front-loaded with purpose and alternatives, which is good, but it is long and repetitive. Statements like 'Returns full user data' and 'RETURNS USER PROFILES' duplicate each other, and the trial access instructions add substantial length that could be condensed or moved elsewhere.

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

Completeness4/5

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

For a tool with 14 parameters and no output schema, the description covers the important decisions: response modes, limits, fields, paging, alternatives, and access limitations. The paging page-size contradiction and lack of detail for internal params are the main gaps, but overall the agent has enough context to invoke the tool correctly.

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?

Schema coverage is 79%, so the schema already documents most parameters. The description adds value by explaining fast/paging modes, limit behavior, field selection defaults, interactionType meaning, and the relationship between pageNumber/tableName. It does not explain internal params like _isTrial, _requestId, and _trialToken, but those are minor.

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 description clearly states the tool returns USER PROFILES of Instagram post interactors and lists the exact fields returned. It explicitly distinguishes itself from getInstagramCommentsByPostId, so an agent can tell them apart without opening schemas.

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

Usage Guidelines5/5

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

The description gives explicit WHEN TO USE sections for this tool and for getInstagramCommentsByPostId, and states NOT FOR COMMENT TEXT. It even differentiates interaction types, leaving no ambiguity about when to choose this tool versus a sibling.

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.