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

by ai.xpoz

getTiktokPostsByIds

Read-onlyIdempotent

Get multiple Tiktok posts by IDs (1-100 IDs per request). Returns results directly. First searches database, then external API for missing/stale data. Optional fields parameter for performance: ["id", "description", "likeCount"]. Returns: results array with id, description, userId, username, createdAtDate, engagement metrics. 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
fieldsNoPERFORMANCE OPTIMIZATION: Specify fields you need. DEFAULT (if omitted): ["id", "description", "username", "createdAtDate"]. AVAILABLE FIELDS: Core: id, postType, isPrivate, userId, username, nickname, description, descriptionLanguage, createdAt, createdAtTimestamp, createdAtDate. Engagement: collectCount, commentCount, likeCount, downloadCount, forwardCount, playCount. Media: videoThumbnail, videoUrl (array of video URLs), duration (video length in seconds). Content: hashtags (array of hashtag strings). EXAMPLES: ["id", "description"] for minimal, ["id", "description", "username", "createdAtDate", "likeCount", "playCount"] for basic analysis, ["id", "description", "hashtags", "duration", "videoUrl"] for video content analysis.
postIdsYesArray of Tiktok post IDs to fetch (1-100 IDs). Returns only found posts, omitting not-found IDs.
_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.
_requestIdNo
userPromptNoCRITICAL FOR ACCURACY: Include the complete user question to enable query optimization and context-aware filtering.
_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).

TDQS

A4.2/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds valuable behavioral context: it first searches the database, then falls back to the external API for missing or stale data. It also discloses that trial access only returns up to 5 cached results and never triggers live fetching, which is essential for setting agent expectations.

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 core purpose and behavioral notes are front-loaded efficiently, but the TRIAL ACCESS section is very long and includes detailed instructions about obtaining and using a trial token. This is useful information, but it could be condensed. The safety statement duplicates the annotations, adding little value.

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?

Given the absence of an output schema, the description usefully summarizes the result array fields: id, description, userId, username, createdAtDate, and engagement metrics. Together with the schema's parameter details, the description gives an agent enough context to select and invoke the tool correctly, including important trial-mode limitations.

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

Parameters3/5

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

Schema description coverage is 63%, and the description mostly restates what the schema already says, such as the postIds limit and the optional fields parameter. It adds a performance hint and a summary of returned fields, but it does not meaningfully explain parameters like forceLatest, userPrompt, _trialToken, or _isTrial beyond what the schema provides. Baseline 3 is appropriate.

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 opens with a specific verb and resource: "Get multiple Tiktok posts by IDs (1-100 IDs per request)". This immediately distinguishes the tool from sibling tools that fetch by keywords, user, hashtag, or sound. The phrase "by IDs" is enough for an agent to know exactly what this tool is for.

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 clearly implies when to use this tool: when the agent has TikTok post IDs and needs their details. It also gives practical guidance such as the ID count limit, optional fields for performance, and the trial-mode restriction to cached results. It does not explicitly name sibling tools or state when not to use it, but the ID-based scope is a clear usage signal.

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

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

Resources