Keyapi Reddit Content Analytics

Explore and analyze Reddit content at scale — retrieve post details (single, batch, or large batch), comments, sub-comment threads, user activity, and curated feeds including home, popular, games, news, subreddit, and community highlights.

Explore and analyze Reddit content at scale — from individual post deep-dives and threaded comment traversal to curated feed monitoring and user activity research.

This skill provides comprehensive Reddit content intelligence using the KeyAPI MCP service. It enables retrieval of post details (single or batch), comment threads with sub-comment traversal, user-published posts and comments, and curated feed content across home, popular, games, news, subreddit, and community highlight feeds — all through a unified, cache-first workflow.

Use this skill when you need to:

• Retrieve full details for one or more Reddit posts by ID
• Traverse comment threads including nested sub-comments
• Analyze a specific user's post and comment history
• Monitor trending content across Reddit's home, popular, games, and news feeds
• Explore subreddit-specific content streams
• Surface community highlights and pinned content from specific subreddits

author: KeyAPI license: MIT repository: https://github.com/EchoSell/keyapi-skills

Prerequisites

Requirement	Details
KEYAPI_TOKEN	A valid API token from keyapi.ai. Register at the site to obtain your free token. Set it as an environment variable: export KEYAPI_TOKEN=your_token_here
Node.js	v18 or higher
Dependencies	Run npm install in the skill directory to install @modelcontextprotocol/sdk

author: KeyAPI license: MIT repository: https://github.com/EchoSell/keyapi-skills

MCP Server Configuration

All tool calls in this skill target the KeyAPI Reddit MCP server:

Server URL : https://mcp.keyapi.ai/reddit/mcp
Auth Header: Authorization: Bearer $KEYAPI_TOKEN

Setup (one-time):

# 1. Install dependencies
npm install

# 2. Set your API token (get one free at https://keyapi.ai/)
export KEYAPI_TOKEN=your_token_here

# 3. List all available tools to verify the connection
node scripts/run.js --platform reddit --list-tools

author: KeyAPI license: MIT repository: https://github.com/EchoSell/keyapi-skills

Analysis Scenarios

User Need	Node(s)	Best For
Full details for a single post	fetch_single_reddit_post_details	Post audit, content analysis, comment context
Batch details for up to 5 posts	fetch_reddit_post_details_in_batch_max_5	Small-scale comparative analysis
Batch details for up to 30 posts	fetch_reddit_post_details_in_large_batch_max_30	Large-scale content harvesting
Top-level comments on a post	fetch_reddit_app_post_comments	Sentiment analysis, community reaction
Sub-comments / nested replies	fetch_reddit_app_comment_replies_sub-comments	Deep thread traversal, reply chain analysis
Posts published by a user	fetch_user_posts	User content audit, posting behavior
Comments published by a user	fetch_user_comments	User engagement patterns, opinion tracking
Reddit home feed (personalized)	fetch_reddit_app_home_feed	Trending content monitoring
Popular / trending feed	fetch_reddit_app_popular_feed	Viral content discovery, trend detection
Gaming community feed	fetch_reddit_app_games_feed	Gaming trend monitoring
News feed	fetch_reddit_app_news_feed	Current events, news discussion tracking
Subreddit content stream	fetch_reddit_app_subreddit_feed	Community-specific content monitoring
Community highlights and pinned content	fetch_reddit_app_community_highlights	Featured posts, important announcements

author: KeyAPI license: MIT repository: https://github.com/EchoSell/keyapi-skills

Workflow

Step 1 — Identify Analysis Targets and Select Nodes

Clarify the research objective and map it to one or more nodes. Typical entry points:

• Post research: Use fetch_single_reddit_post_details for one post, or batch endpoints for multiple.
• Comment thread traversal: Use fetch_reddit_app_post_comments for top-level comments, then fetch_reddit_app_comment_replies_sub-comments for nested replies when more.cursor is present.
• User activity audit: Combine fetch_user_posts + fetch_user_comments for a full activity profile.
• Feed monitoring: Choose the appropriate feed endpoint based on content category.
• Subreddit deep-dive: Use fetch_reddit_app_subreddit_feed + fetch_reddit_app_community_highlights.

Critical: Reddit ID Type Prefixes

The Reddit APP API requires type prefixes on all IDs — this is mandatory:

• Post IDs: must use t3_ prefix (e.g., t3_1ojnh50)
• Comment IDs: must use t1_ prefix (e.g., t1_abcd123)

Passing a bare ID without the prefix will result in an error. Always include the prefix.

Sub-comment Traversal

When a comment node in fetch_reddit_app_post_comments response contains a more.cursor field, it indicates nested replies exist. Use fetch_reddit_app_comment_replies_sub-comments with:

• post_id: the parent post ID (with t3_ prefix)
• cursor: the value from more.cursor (format: commenttree:ex:(xxx))

Path to cursor: $.data.postInfoById.commentForest.trees[*].more.cursor

need_format Parameter

Most endpoints accept an optional need_format boolean. Set to true to receive sanitized/cleaned response data. Defaults to false (raw data). Use true when downstream processing requires cleaner output.

Step 2 — Retrieve API Schema

Before calling any node, inspect its input schema to confirm required parameters and available options:

node scripts/run.js --platform reddit --schema <tool_name>

# Examples
node scripts/run.js --platform reddit --schema fetch_single_reddit_post_details
node scripts/run.js --platform reddit --schema fetch_reddit_app_post_comments

Step 3 — Call APIs and Cache Results Locally

Execute tool calls and persist responses to the local cache to avoid redundant API calls.

Calling a tool:

# Single call with pretty output
node scripts/run.js --platform reddit --tool <tool_name> \
  --params '<json_args>' --pretty

# Force fresh data, skip cache
node scripts/run.js --platform reddit --tool <tool_name> \
  --params '<json_args>' --no-cache --pretty

Example — get single post details:

node scripts/run.js --platform reddit --tool fetch_single_reddit_post_details \
  --params '{"post_id":"t3_1ojnh50"}' --pretty

Example — batch fetch up to 5 posts:

node scripts/run.js --platform reddit --tool fetch_reddit_post_details_in_batch_max_5 \
  --params '{"post_ids":"t3_1ojnh50,t3_1ok432f,t3_1nwil8j"}' --pretty

Example — get post comments:

node scripts/run.js --platform reddit --tool fetch_reddit_app_post_comments \
  --params '{"post_id":"t3_1ojnvca","sort_type":"TOP"}' --pretty

Example — get sub-comments using cursor:

node scripts/run.js --platform reddit --tool "fetch_reddit_app_comment_replies_sub-comments" \
  --params '{"post_id":"t3_1qmup73","cursor":"commenttree:ex:(RjiJd","sort_type":"CONFIDENCE"}' --pretty

Example — get popular feed:

node scripts/run.js --platform reddit --tool fetch_reddit_app_popular_feed \
  --params '{"sort":"HOT","time":"WEEK"}' --pretty

Example — get subreddit feed:

node scripts/run.js --platform reddit --tool fetch_reddit_app_subreddit_feed \
  --params '{"subreddit_name":"technology","sort":"HOT"}' --pretty

Example — get user posts:

node scripts/run.js --platform reddit --tool fetch_user_posts \
  --params '{"username":"spez","sort":"NEW"}' --pretty

Pagination:

Endpoint group	Pagination parameter	Notes
Feed endpoints (home, popular, games, news, subreddit)	after (cursor string)	Pass after value from previous response
fetch_reddit_app_post_comments	after (cursor string)	Found in last comment node
fetch_user_posts, fetch_user_comments	after (cursor string)	Pass cursor from previous response
fetch_reddit_app_comment_replies_sub-comments	cursor (from more.cursor)	Use cursor from comment node, not after
Batch post endpoints	—	No pagination; pass all IDs in one call

Batch endpoint limits:

Endpoint	Max posts per call
fetch_reddit_post_details_in_batch_max_5	5
fetch_reddit_post_details_in_large_batch_max_30	30

Exceeding these limits returns an error. Split larger sets across multiple calls.

Cache directory structure:

.keyapi-cache/
└── YYYY-MM-DD/
    ├── fetch_single_reddit_post_details/
    │   └── {params_hash}.json
    ├── fetch_reddit_post_details_in_batch_max_5/
    │   └── {params_hash}.json
    ├── fetch_reddit_post_details_in_large_batch_max_30/
    │   └── {params_hash}.json
    ├── fetch_reddit_app_post_comments/
    │   └── {params_hash}.json
    ├── fetch_reddit_app_comment_replies_sub-comments/
    │   └── {params_hash}.json
    ├── fetch_user_posts/
    │   └── {params_hash}.json
    ├── fetch_user_comments/
    │   └── {params_hash}.json
    ├── fetch_reddit_app_home_feed/
    │   └── {params_hash}.json
    ├── fetch_reddit_app_popular_feed/
    │   └── {params_hash}.json
    ├── fetch_reddit_app_games_feed/
    │   └── {params_hash}.json
    ├── fetch_reddit_app_news_feed/
    │   └── {params_hash}.json
    ├── fetch_reddit_app_subreddit_feed/
    │   └── {params_hash}.json
    └── fetch_reddit_app_community_highlights/
        └── {params_hash}.json

Cache-first policy:

Before every API call, check whether a cached result already exists for the given parameters. If a valid cache file exists, load from disk and skip the API call.

Step 4 — Synthesize and Report Findings

After collecting all API responses, produce a structured content intelligence report:

For post analysis:

1. Post Overview — Title, subreddit, author, score, upvote ratio, comment count, post date, flair.
2. Engagement Metrics — Score distribution, comment volume, award count, cross-post activity.
3. Comment Sentiment — Top comment themes, sentiment distribution, notable replies.
4. Thread Structure — Depth of discussion, sub-comment density, most-engaged branches.

For feed monitoring:

1. Trending Topics — Top posts by score, common themes, subreddit distribution.
2. Content Patterns — Media type breakdown (text, image, video, link), posting cadence.
3. Community Signals — Subreddits driving the most engagement, emerging discussion topics.

For user activity:

1. Activity Profile — Post frequency, comment frequency, active subreddits.
2. Content Themes — Recurring topics, subreddit focus areas.
3. Engagement Style — Comment length patterns, upvote/downvote behavior where available.

author: KeyAPI license: MIT repository: https://github.com/EchoSell/keyapi-skills

Common Rules

Rule	Detail
ID prefixes	Always include type prefixes: t3_ for post IDs, t1_ for comment IDs. Bare IDs will fail.
Batch limits	fetch_reddit_post_details_in_batch_max_5 accepts max 5 IDs; fetch_reddit_post_details_in_large_batch_max_30 accepts max 30. Split larger sets across multiple calls.
Sub-comment traversal	When a comment node has more.cursor, call fetch_reddit_app_comment_replies_sub-comments with that cursor to retrieve nested replies.
need_format	Set to true for sanitized output. Defaults to false. Use true when cleaner data is needed for downstream processing.
Feed pagination	Use after cursor from the previous response to fetch the next page of feed content.
Success check	code = 0 → success. Any other value → failure. Always check the response code before processing data.
Retry on 500	If code = 500, retry the identical request up to 3 times with a 2–3 second pause between attempts before reporting the error.
Cache first	Always check the local .keyapi-cache/ directory before issuing a live API call.

author: KeyAPI license: MIT repository: https://github.com/EchoSell/keyapi-skills

Error Handling

Code	Meaning	Action
0	Success	Continue workflow normally
400	Bad request — invalid or missing parameters	Validate ID format (check t3_/t1_ prefixes); verify batch size limits
401	Unauthorized — token missing or expired	Confirm KEYAPI_TOKEN is set correctly; visit keyapi.ai to renew
403	Forbidden — plan quota exceeded or feature restricted	Review plan limits at keyapi.ai
404	Resource not found — post or comment may have been deleted	Verify the post ID; deleted or removed content may return empty results
429	Rate limit exceeded	Wait 60 seconds, then retry
500	Internal server error	Retry up to 3 times with a 2–3 second pause; if it persists, log the full request and response and skip this node
Other non-0	Unexpected error	Log the full response body and surface the error message to the user