Skip to main content
Glama

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

getTwitterPostInteractingUsers

Read-only

Get users who interacted with a specific Twitter post (commenters, quoters, or retweeters). INTERACTION TYPES: "commenters" (users who replied to the post), "quoters" (users who quoted the post), "retweeters" (users who retweeted the post). 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 when DB data is stale or insufficient. Results include guidance for paging mode. PAGING (responseType="paging"): Async paginated results (1000/page with default fields, 100/page if 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: audience analysis, engagement patterns, network graphs across thousands of users. PAGING MODE DETAILS: FIRST CALL: Omit pageNumber and tableName. Creates cached table, returns page 1 with pagination metadata (tableName, totalPages, totalRows). SUBSEQUENT PAGES: Use tableName from first response with pageNumber (2, 3, etc.) to fetch additional pages. Cannot pass pageNumber without tableName. BULK FETCH: Optionally use pageNumberEnd with pageNumber and tableName to fetch multiple consecutive pages at once (e.g., pageNumber=1, pageNumberEnd=5 returns pages 1-5). 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). Use for: Finding who engaged with a specific post, analyzing post reach and audience, building engagement networks. This is a safe, read-only tool for analyzing searchable information.

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.
postIdYesNumeric Twitter post/tweet ID. Must be a number-only string (e.g., "1234567890"). Do NOT pass tweet text, URLs, or usernames here.
endDateNo
_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.
startDateNo
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 replied), "quoters" (users who quoted), "retweeters" (users who retweeted). Each type queries different relationships in the data.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / feedback / description
      Previous value: -"Optional. 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 getTwitterListMembers tool\", \"loved how fast this was\". Captured for product feedback; does not affect tool behavior."New value: +"Optional. 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."
  2. Changed8 schema fields changed
    • addedInput schema / properties / _isTrial
      Added value: +{
      +  "type": "boolean"
      +}
    • addedInput schema / properties / _trialToken
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / endDate
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / feedback
      Added value: +{
      +  "description": "Optional. 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 getTwitterListMembers tool\", \"loved how fast this was\". Captured for product feedback; does not affect tool behavior.",
      +  "type": "string"
      +}
    • changedInput schema / properties / fields / description
      Previous value: -"PERFORMANCE 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. Analytics: collectedFollowingCount, collectedFollowersCount, collectedFollowersCoverage, collectedFollowingCoverage, avgTweetsPerDayLastMonth. Advanced: nLang, nLangsFiltered, inauthenticType, isInauthentic, isInauthenticProbScore, isInauthenticCalculatedAt. Timestamps: xFetchedAt, modifiedAt, createdAt, xModifiedAt. Account History: verifiedSinceDatetime, usernameChanges, lastUsernameChangeDatetime. EXAMPLES: [\"id\", \"username\"] for minimal, [\"username\", \"name\", \"description, followersCount\"] for basic info, or specify all fields if needed."New value: +"PERFORMANCE 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."
    • addedInput schema / properties / limit
      Added value: +{
      +  "description": "Max results to return. Fast mode: capped at 300 (default: 300). Paging/CSV modes: caps total exported rows (default: all, max 500K).",
      +  "maximum": 500000,
      +  "minimum": 1,
      +  "type": "number"
      +}
    • addedInput schema / properties / responseType
      Added value: +{
      +  "description": "Response 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.",
      +  "enum": [
      +    "fast",
      +    "paging",
      +    "csv"
      +  ],
      +  "type": "string"
      +}
    • addedInput schema / properties / startDate
      Added value: +{
      +  "type": "string"
      +}
  3. Changed2 schema fields changed
    • addedInput schema / properties / postId / description
      Added value: +"Numeric Twitter post/tweet ID. Must be a number-only string (e.g., \"1234567890\"). Do NOT pass tweet text, URLs, or usernames here."
    • addedInput schema / properties / postId / pattern
      Added value: +"^\\d+$"
  4. First observed

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses important behavioral traits: caching behavior (DB data stale -> API fallback), async pagination mechanics, concurrency limits (429 errors), rate limits (200 req/min), and result size limits (500 max for fast mode). Not all edge cases covered (e.g., exact rate limit details, error handling), but substantial transparency. Minor deduction for not mentioning what happens to cached data freshness or whether results are sorted.

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?

Long but well-structured with clear section headers (FAST, PAGING, CSV, INTERACTION TYPES). Some redundancy exists (paging mechanics repeated in 'PAGING MODE DETAILS'), and the description is dense. Every sentence earns its place, but could be tightened.

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?

Covers purpose, mode selection, behavioral traits (caching, rate limits, async patterns), parameter semantics, and explicitly names the alternative tool. Self-contained for an agent to invoke correctly without additional context.

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?

The description explains parameter behavior beyond the schema: how limit defaults to 10 and caps at 100, how sortBy affects ordering, how cursor-based pagination works, and the relationship between maxResults and total counts. Schema coverage is good but the description adds contextual meaning (paging mechanics, field behavior) that the schema alone doesn't convey.

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?

States a specific verb ('Get'), object ('users who interacted with a specific Twitter post'), and explicitly enumerates the interaction types (commenters, quoters, retweeters), leaving no ambiguity about scope. Clearly distinguishes from profile-analysis tools by noting it is not for analyzing individual user profiles.

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?

Provides explicit mode selection guidance (fast vs paging vs csv) with concrete thresholds, tells users when to use each mode ('Use code execution to analyze the full dataset'), and names the alternative tool for a different use case ('Use getTwitterUser instead'). Also gives rate limit and concurrency guidance.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.