Keyapi Threads User Discovery

Discover and analyze Threads users and content — retrieve user profiles, posts, reposts, replies, post details, comments, and perform keyword-based search across top content, recent content, and user profiles.

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

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 Threads MCP server:

text

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

Setup (one-time):

bash

# 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

User Need	Node(s)	Best For
User profile by username	get_user_info	Profile lookup, follower count, bio, verification
User profile by numeric user ID	get_user_info_by_id	ID-to-profile resolution, data normalization
User's published posts	get_user_posts	Content inventory, posting cadence analysis
User's reposts	get_user_reposts	Content amplification patterns, sharing behavior
User's replies	get_user_replies	Engagement behavior, conversation participation
Post details by shortcode or URL	get_post_detail	Post audit, content analysis, media retrieval
Comments on a post	get_post_comments	Sentiment analysis, community reaction (requires numeric post ID from get_post_detail response)
Search top content by keyword	search_top_content	Viral content discovery, trending topic research
Search recent content by keyword	search_recent_content	Real-time content monitoring, breaking topic tracking
Search user profiles by keyword	search_profiles	Creator discovery, influencer prospecting

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:

bash

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:

bash

# 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:

bash

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

Example — get user posts (first page):

bash

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

Example — get next page using end_cursor:

bash

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):

bash

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):

bash

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

Example — get post detail by full URL:

bash

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

Example — search top content:

bash

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

Example — search user profiles:

bash

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

Pagination:

Threads uses cursor-based pagination via end_cursor:

Endpoint	Pagination parameter	Notes
get_user_posts, get_user_reposts, get_user_replies	end_cursor	Pass cursor from previous response; omit for first call
get_post_comments	end_cursor	Pass cursor from previous response; omit for first call
search_top_content, search_recent_content	end_cursor	Pass cursor from previous response; omit for first call
get_user_info, get_user_info_by_id, get_post_detail	—	Single-call response
search_profiles	—	No pagination; single-call response

Cache directory structure:

text

.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

Rule	Detail
Identifier resolution	get_user_posts, get_user_reposts, get_user_replies require user_id. Always call get_user_info first with username to obtain it.
get_post_comments post_id	Requires the numeric post ID (e.g., 3390920896561588969), NOT the shortcode. Call get_post_detail first with the shortcode and extract the id field from the response.
get_post_detail input	Pass either post_id (shortcode) or url (full URL) — not both. Prefer post_id for caching consistency.
Shortcode extraction	Extract shortcode from post URL: https://www.threads.com/@{username}/post/{shortcode}
Cursor pagination	Use end_cursor from the previous response to fetch the next page. Omit for the first call.
search_profiles pagination	search_profiles does not support pagination — returns results in a single call.
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 input; ensure user_id is provided for content endpoints; check shortcode format
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 — user or post may not exist or account is private	Verify the username or post shortcode; private accounts may have restricted data
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