getRedditUsersByKeywords
Search for USERS who authored Reddit posts matching keywords. USE CASE: Find users who have posted content about specific topics. Returns unique, deduplicated user profiles. RESPONSE MODES (responseType parameter): "fast" (DEFAULT): Returns up to 300 results directly in one call. Use limit param ...
This record as markdown: /tools/ai-xpoz-social-insights/getredditusersbykeywords.md
What getRedditUsersByKeywords does on Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)
AI agents call getRedditUsersByKeywords to retrieve information from Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | number | — | Max results to return. Fast mode: capped at 300 (default: 300). Paging/CSV modes: caps total exported rows (default: all, max 500K). |
query | string | Yes | Full-text search of Reddit post titles and content to find users who authored matching posts. Searches posts, returns UNIQUE user authors (deduplicated). EXACT |
fields | array | — | PERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): ["id", "username", "totalKarma"]. AVAILABLE FIELDS: Core: id, username, profileUrl, pro |
endDate | string | — | End date filter (YYYY-MM-DD format) |
_isTrial | boolean | — | |
feedback | string | — | 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 th |
startDate | string | — | Start date filter (YYYY-MM-DD format) |
subreddit | string | — | Filter results to a specific subreddit (without r/ prefix) |
tableName | string | — | Cached table name from previous pagination request. Required when fetching pageNumber > 1. Returned in first page response. |
_requestId | string | — | |
pageNumber | number | — | Page number to fetch (1-indexed). Must be provided with tableName to fetch subsequent pages. Omit for first page. |
userPrompt | string | — | CRITICAL FOR ACCURACY: Include the complete user question to enable query optimization and context-aware filtering. The tool uses NLP analysis on the original p |
Parameters from the server's own tool schema.
Why getRedditUsersByKeywords is rated Low
Even though getRedditUsersByKeywords only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsHigh parameter count (16 properties)
Attacks that exploit this kind of access
The rule that runs getRedditUsersByKeywords safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ), and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For getRedditUsersByKeywords, this is the rule to start with:
getRedditUsersByKeywords is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ), apply this rule, and every getRedditUsersByKeywords call is checked against it from then on.
Questions about getRedditUsersByKeywords
Search for USERS who authored Reddit posts matching keywords. USE CASE: Find users who have posted content about specific topics. Returns unique, deduplicated user profiles. RESPONSE MODES (responseType parameter): "fast" (DEFAULT): Returns up to 300 results directly in one call. Use limit param to reduce. Best for quick lookups. "paging": Async paginated results (100/page). Returns operation ID - call checkOperationStatus to get results. Use pageNumber/tableName for subsequent pages. "csv": Async CSV export. Returns dataDumpExportOperationId - call checkOperationStatus to get S3 download link. Best for bulk export. 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.). BULK FETCH: Use pageNumberEnd with pageNumber and tableName for multiple consecutive pages. QUERY SYNTAX: Plain keywords (bitcoin, climate change), quoted phrases ("deep learning"), boolean expressions (AI AND crypto, bitcoin OR ethereum, politics NOT sports), or parenthesized groups ((startup OR entrepreneur) NOT "venture capital"). AND/OR/NOT must have a term on both sides. @handles like @karpathy are supported. Field operators (from:, lang:) are stripped. Forward slashes are treated as spaces (24/7 becomes 24 7). FILTERS: - startDate/endDate: Filter by post date (YYYY-MM-DD format). OMIT by default, only use if user explicitly requests date range. IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. - subreddit: Filter to specific subreddit (without r/ prefix). Optional fields parameter for performance (default: ["id", "username", "totalKarma"]). Available fields: id, username, profileUrl, profilePicUrl, snoovatarImg, linkKarma, commentKarma, totalKarma, profileDescription, and more. AGGREGATE FIELDS (from matching posts) - MUST BE EXPLICITLY REQUESTED IN FIELDS: aggRelevance (relevance score for sorting), relevantPostsCount (count of matching posts per user), relevantPostsUpvotesSum, relevantPostsCommentsCountSum. These return aggregated metrics from all matched posts for each user. 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":"<how you discovered xpoz>"}; 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. It is categorised as a Read tool in the Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) MCP Server, which means it retrieves data without modifying state.
getRedditUsersByKeywords accepts 12 parameters: limit, query, fields, endDate, _isTrial, feedback, startDate, subreddit, tableName, _requestId, pageNumber, userPrompt. Required: query. The full parameter table on this page comes from the server's own tool schema.
Register the Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) MCP server in PolicyLayer and add a rule for getRedditUsersByKeywords: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ). Nothing to install.
getRedditUsersByKeywords is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the getRedditUsersByKeywords rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for getRedditUsersByKeywords. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
getRedditUsersByKeywords is provided by the Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ) MCP server (https://mcp.xpoz.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ), and thousands of servers like it.
Across the catalogue