getRedditPostsByKeywords
Search Reddit posts by keywords with two response modes. Searches in post titles and selftext. 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. Results include guidance for full mode. PAGING (responseType="paging"): Async paginated results (100/page), 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: sentiment analysis, subreddit trends, community discussions across thousands of posts. Returns by default: id, title, authorUsername, subredditName, createdAtDate. First searches database, then external API if data is stale or missing. 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). Date filters: OMIT startDate/endDate parameters by default. ONLY pass these if user explicitly requests specific date range (YYYY-MM-DD format). 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. FILTERS: sort (relevance, hot, top, new, comments), time (hour, day, week, month, year, all), subreddit (limit to specific subreddit). FIELDS parameter (optional): Specify to get additional/different fields. Available: Core (id, title, selftext, url, permalink), Author (authorId, authorUsername), Subreddit (subredditName, subredditId), Engagement (score, upvotes, downvotes, upvoteRatio, commentsCount, crosspostsCount), Flags (isSelf, isVideo, over18, spoiler, locked, stickied, archived). 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
| Name | Required | Description | Default |
|---|---|---|---|
| sort | No | Sort order for results. Default: relevance. | |
| time | No | Time filter for results. Default: all. | |
| limit | No | Max results to return. Fast mode: capped at 300 (default: 300). Paging/CSV modes: caps total exported rows (default: all, max 500K). | |
| query | Yes | Full-text search of post content. Searches post titles and selftext. EXACT PHRASES: Wrap in double quotes - "machine learning" matches that exact phrase. KEYWORDS: Without quotes, matches posts containing any of the words - AI robotics blockchain. BOOLEAN OPERATORS: MUST explicitly use the keywords AND, OR (uppercase or lowercase). NO implicit operators - space between words means OR by default. Examples requiring explicit operators: Use "deep learning" AND python (not "deep learning python"). Use tensorflow OR pytorch (not "tensorflow pytorch"). PARENTHESES: Group terms for precise logic - (AI OR "artificial intelligence") AND ethics. Query examples: "climate change" | AI OR blockchain | "neural networks" AND python | (startup OR entrepreneur) | |
| fields | No | PERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): ["id", "title", "authorUsername", "subredditName", "createdAtDate"]. AVAILABLE FIELDS: Core: id, title, selftext, selftextHtml, url, permalink, postUrl, thumbnail. Author: authorId, authorUsername. Subreddit: subredditName, subredditId. Engagement: score, upvotes, downvotes, upvoteRatio, commentsCount, crosspostsCount. Flags: isSelf, isVideo, isOriginalContent, over18, spoiler, locked, stickied, archived. Meta: linkFlairText, postHint, domain, crosspostParent. Moderation: removal (JSON removal/deletion status), editedAt (ISO datetime of last edit, null if never edited). Timestamps: createdAt, createdAtTimestamp, createdAtDate. EXAMPLES: ["id", "title", "score"] for minimal, ["title", "selftext", "score", "commentsCount"] for content analysis. | |
| endDate | No | ||
| _isTrial | No | ||
| feedback | No | 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. | |
| startDate | No | ||
| subreddit | No | Filter posts by subreddit name (without r/ prefix). Use this parameter to limit search to a specific subreddit. Example: subreddit="wallstreetbets" finds all posts in r/wallstreetbets. | |
| tableName | No | Cached table name from previous pagination request. Required when fetching pageNumber > 1. Returned in first page response. | |
| _requestId | No | ||
| pageNumber | No | Page number to fetch (1-indexed). Must be provided with tableName to fetch subsequent pages. Omit for first page. | |
| userPrompt | No | CRITICAL 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. | |
| _trialToken | No | ||
| forceLatest | No | USE 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). | |
| responseType | No | 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. | |
| pageNumberEnd | No | Optional 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. |