keyapi-threads-user-discovery（keyapi 线程用户发现）

keyapi-threads-user-discovery

Discover and analyze Threads users and content — from profile resolution and content inventory to comment thread exploration and keyword-based search across the platform.

This skill provides comprehensive Threads user and content intelligence using the KeyAPI MCP service. It enables retrieval of user profiles (by username or user ID), published posts, reposts, replies, individual post details (by shortcode or full URL), post comments, and keyword search across top content, recent content, and user profiles — all through a unified, cache-first workflow.

Use this skill when you need to:

• Retrieve a Threads user's profile by username or numeric user ID
• Inventory a user's published posts, reposts, and reply activity
• Retrieve full details for a specific post using its shortcode or URL
• Explore comments on a Threads post
• Search for top or recent content by keyword
• Discover user profiles matching a search query

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

Prerequisites

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

MCP Server Configuration

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

Server URL : https://mcp.keyapi.ai/threads/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 threads --list-tools

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

Analysis Scenarios

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:

• Profile lookup by handle: Use get_user_info with username. Returns user_id needed for content endpoints.
• Profile lookup by ID: Use get_user_info_by_id when only a numeric ID is available.
• Content audit: Combine get_user_posts + get_user_reposts + get_user_replies for a full activity snapshot.
• Post deep-dive: Use get_post_detail then get_post_comments for content + community reaction.
• Content discovery: Use search_top_content for viral content or search_recent_content for latest posts.
• Creator discovery: Use search_profiles to find users by keyword.

Critical: Two Identifier Types Threads endpoints use two distinct identifiers: - username — the @handle from the profile URL (e.g., https://www.threads.net/@lilbieber → lilbieber). Used by get_user_info and search_profiles. - user_id — the numeric internal user ID (e.g., 63625256886). Required by get_user_posts, get_user_reposts, get_user_replies, and get_user_info_by_id. Always call get_user_info first with the username to obtain the user_id before calling content endpoints.

get_post_detail vs. get_post_comments — Different post_id Formats These two endpoints both use a post_id parameter but expect different formats: - get_post_detail: post_id = the shortcode from the URL (e.g., DPVUglOjOUu from https://www.threads.com/@taylorswift/post/DPVUglOjOUu) - get_post_comments: post_id = the numeric post ID (e.g., 3390920896561588969) The numeric post ID is returned inside the get_post_detail response. The workflow is: call get_post_detail with the shortcode → extract the numeric id from the response → pass it to get_post_comments.

get_post_detail — Shortcode vs. Full URL get_post_detail accepts either: - post_id — the shortcode extracted from the post URL (e.g., https://www.threads.com/@taylorswift/post/DPVUglOjOUu → shortcode is DPVUglOjOUu) - url — the full post URL Pass one, not both. The shortcode is preferred for caching consistency.

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 threads --schema <tool_name>

# Examples
node scripts/run.js --platform threads --schema get_user_info
node scripts/run.js --platform threads --schema get_post_detail
node scripts/run.js --platform threads --schema search_top_content

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 threads --tool <tool_name> \
  --params '<json_args>' --pretty

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

Example — get user profile by username:

node scripts/run.js --platform threads --tool get_user_info \
  --params '{"username":"zuck"}' --pretty

Example — get user posts (first page):

node scripts/run.js --platform threads --tool get_user_posts \
  --params '{"user_id":"63625256886"}' --pretty

Example — get next page using end_cursor:

node scripts/run.js --platform threads --tool get_user_posts \
  --params '{"user_id":"63625256886","end_cursor":"<cursor_from_previous_response>"}' --pretty

Example — get post detail by shortcode (step 1 of comment workflow):

node scripts/run.js --platform threads --tool get_post_detail \
  --params '{"post_id":"DPVUglOjOUu"}' --pretty
# Response contains numeric "id" field — use it for get_post_comments

Example — get post comments using numeric post ID (step 2):

node scripts/run.js --platform threads --tool get_post_comments \
  --params '{"post_id":"3390920896561588969"}' --pretty

Example — get post detail by full URL:

node scripts/run.js --platform threads --tool get_post_detail \
  --params '{"url":"https://www.threads.com/@taylorswift/post/DPVUglOjOUu"}' --pretty

Example — search top content:

node scripts/run.js --platform threads --tool search_top_content \
  --params '{"query":"AI"}' --pretty

Example — search user profiles:

node scripts/run.js --platform threads --tool search_profiles \
  --params '{"query":"mark"}' --pretty

Pagination:

Threads uses cursor-based pagination via end_cursor:

Cache directory structure:

.keyapi-cache/
└── YYYY-MM-DD/
    ├── get_user_info/
    │   └── {params_hash}.json
    ├── get_user_info_by_id/
    │   └── {params_hash}.json
    ├── get_user_posts/
    │   └── {params_hash}.json
    ├── get_user_reposts/
    │   └── {params_hash}.json
    ├── get_user_replies/
    │   └── {params_hash}.json
    ├── get_post_detail/
    │   └── {params_hash}.json
    ├── get_post_comments/
    │   └── {params_hash}.json
    ├── search_top_content/
    │   └── {params_hash}.json
    ├── search_recent_content/
    │   └── {params_hash}.json
    └── search_profiles/
        └── {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 user and content intelligence report:

For individual user analysis:

1. Profile Overview — Username, display name, user ID, bio, follower count, following count, verification status, account type.
2. Content Inventory — Post count, repost frequency, reply activity, posting cadence.
3. Engagement Patterns — Like counts, reply counts, repost counts on published content.
4. Content Themes — Recurring topics, hashtag usage, media type distribution.

For post analysis:

1. Post Details — Author, text content, media attachments, like count, reply count, repost count, timestamp.
2. Comment Sentiment — Top comment themes, community reaction, notable replies.
3. Engagement Quality — Like-to-reply ratio, repost amplification signals.

For search and discovery:

1. Top Content Results — Highest-engagement posts matching the query, author profiles.
2. Recent Content Results — Latest posts for real-time topic monitoring.
3. Profile Discovery — Matched user profiles with follower counts and verification status.

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

Common Rules

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

Error Handling