š¦ X Research But Cheaper OpenClaw Plugin & Skill | ClawHub
Looking to integrate X Research But Cheaper into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate search & research tasks instantly, without having to write custom tools from scratch.
What this skill does
X/Twitter research skill powered by TwitterAPI.io. Agentic search, profile analysis, thread reading, watchlists, and sourced briefings. Use when asked to search X/Twitter, check what people are saying about a topic, monitor accounts, or research crypto/tech narratives on X.
Install
openclaw skills install @minilozio/x-research-but-cheapernpx clawhub@latest install x-research-but-cheaperFull SKILL.md
Open original| name | description |
|---|---|
| x-research | X/Twitter research skill powered by TwitterAPI.io. Agentic search, profile analysis, thread reading, watchlists, and sourced briefings. Use when asked to search X/Twitter, check what people are saying about a topic, monitor accounts, or research crypto/tech narratives on X. |
SKILL.md content below is scrollable.
X Research
General-purpose X/Twitter research agent powered by TwitterAPI.io. Search, filter, monitor ā all from the terminal. No X Developer Portal account needed.
For API details: read references/twitterapi-io.md.
Why TwitterAPI.io?
| X API Official | TwitterAPI.io | |
|---|---|---|
| Cost | $100+/mo (Basic plan) | ~$0.15/1k tweets (pay-per-use) |
| Setup | Developer Portal application | Just an API key |
| Rate limit | 10 req/15min | 200 QPS |
| Archive | 7 days (recent) | Full archive |
Setup
-
Get a TwitterAPI.io key from twitterapi.io
-
Set the env var:
export TWITTERAPI_KEY="your-key-here"
Or add to your .env file.
- Node.js 18+ required (for native
fetch). Nonpm installneeded ā zero dependencies.
CLI Tool
All commands run from the scripts directory:
cd <skill-dir>/scripts
Search
npx tsx x-search.ts search "<query>" [options]
Options:
--sort likes|retweets|impressions|recentā sort order (default: likes)--since 1h|3h|12h|1d|7dā time filter--min-likes Nā filter minimum likes--min-impressions Nā filter minimum views--pages Nā pages to fetch, 1-5 (default: 1)--limit Nā max results to display (default: 15)--quickā fast mode: 1 page, max 10 results, noise filter, 1hr cache--from <username>ā shorthand forfrom:usernamein query--qualityā filter low-engagement tweets (ā„10 likes)--no-repliesā exclude replies--saveā save results to file--type Top|Latestā search mode (default: Latest; Top returns algorithmic ranking)--jsonā raw JSON output--markdownā markdown formatted output
Auto-adds -is:retweet unless query already includes it. Cost estimate shown after each search.
Examples:
npx tsx x-search.ts search "AI agents Base chain" --sort likes --limit 10
npx tsx x-search.ts search "BNKR" --quick
npx tsx x-search.ts search "from:frankdegods" --sort recent
npx tsx x-search.ts search "(opus OR claude) trading" --pages 2 --save
npx tsx x-search.ts search "$SOL memecoin" --min-likes 50 --since 1d
Search operators (passed through to X):
| Operator | Example | Notes |
|---|---|---|
| keyword | bun 2.0 |
Implicit AND |
OR |
bun OR deno |
Must be uppercase |
- |
-is:retweet |
Negation |
() |
(fast OR perf) |
Grouping |
from: |
from:elonmusk |
Posts by user |
to: |
to:elonmusk |
Replies to user |
# |
#buildinpublic |
Hashtag |
$ |
$AAPL |
Cashtag |
lang: |
lang:en |
Language filter |
is:retweet |
-is:retweet |
Filter retweets |
is:reply |
-is:reply |
Filter replies |
has:media |
has:media |
Contains media |
has:links |
has:links |
Contains links |
min_faves: |
min_faves:100 |
Min likes (native) |
Profile
npx tsx x-search.ts profile <username> [--count N] [--replies] [--json]
Fetches user info and recent tweets. Excludes replies by default.
Single Tweet
npx tsx x-search.ts tweet <tweet_id> [--json]
Thread
npx tsx x-search.ts thread <tweet_id>
Fetches root tweet, author thread continuations, and replies in chronological order.
Replies
npx tsx x-search.ts replies <tweet_id> [--sort likes|recent] [--limit N]
Get replies to a specific tweet, sorted by engagement.
Quote Tweets
npx tsx x-search.ts quotes <tweet_id> [--sort likes|recent] [--limit N]
See who quoted a tweet and what they said.
Mentions
npx tsx x-search.ts mentions <username> [--since 1d|7d] [--sort recent|likes] [--limit N]
Get tweets that mention a user. Great for tracking what people are saying about someone.
Followers / Following
npx tsx x-search.ts followers <username> [--limit N]
npx tsx x-search.ts following <username> [--limit N]
List a user's followers or who they follow. Shows name, follower count, and bio snippet.
Search Users
npx tsx x-search.ts users "<query>" [--limit N]
Search for user accounts by keyword.
Trending
npx tsx x-search.ts trending [--woeid N] [--count N]
Get trending topics. Default: worldwide (woeid=1). Common WOEIDs: US=23424977, UK=23424975, Italy=23424853.
Community
npx tsx x-search.ts community <id> # Community info
npx tsx x-search.ts community tweets <id> # Community tweets
Research X Communities by ID.
Watchlist
npx tsx x-search.ts watchlist # Show all
npx tsx x-search.ts watchlist add <user> [note] # Add account
npx tsx x-search.ts watchlist remove <user> # Remove account
npx tsx x-search.ts watchlist check # Check recent from all
Watchlist stored in data/watchlist.json. Use for periodic monitoring ā check if key accounts posted anything notable.
Cache
npx tsx x-search.ts cache clear # Clear all cached results
Default 15-minute TTL. Quick mode uses 1-hour TTL. Avoids repeat API charges.
Research Loop (Agentic)
When doing deep research (not just a quick search), follow this loop:
1. Decompose the Question into Queries
Turn the research question into 3-5 keyword queries:
- Core query: Direct keywords for the topic
- Expert voices:
from:specific known experts - Pain points: Keywords like
(broken OR bug OR issue) - Positive signal: Keywords like
(shipped OR love OR fast) - Links:
has:linksfor resource-rich tweets - Crypto spam: Add
-airdrop -giveaway -whitelistif needed
2. Search and Extract
Run each query via CLI. After each, assess:
- Signal or noise? Adjust operators.
- Key voices worth searching
from:specifically? - Threads worth following via
threadcommand?
3. Follow Threads
When a tweet has high engagement or is a thread starter:
npx tsx x-search.ts thread <tweet_id>
4. Synthesize
Group findings by theme, not by query:
### [Theme/Finding Title]
[1-2 sentence summary]
- @username: "[key quote]" (ā„ N, š N) [Tweet](url)
- @username2: "[another perspective]" (ā„ N, š N) [Tweet](url)
5. Save
Use --save flag or --markdown for research docs.
Refinement Heuristics
- Too much noise? Add
--no-replies, use--sort likes, narrow keywords - Too few results? Broaden with
OR, remove restrictive operators - Crypto spam? Add
-airdrop -giveaway -whitelistto query - Expert takes only? Use
from:or--min-likes 50 - Substance over hot takes? Search with
has:links
Heartbeat Integration
On heartbeat, run watchlist check to see if key accounts posted anything notable. Flag only if genuinely interesting/actionable.
Cost
TwitterAPI.io pay-per-use pricing:
- ~$0.15 per 1,000 tweets fetched
- ~$0.18 per profile lookup
- Cost estimate shown after each command
- Cache prevents redundant charges
File Structure
skills/x-research/
āāā SKILL.md # This file
āāā package.json # Zero dependencies
āāā scripts/
ā āāā x-search.ts # CLI entry point
ā āāā lib/
ā āāā api.ts # TwitterAPI.io wrapper
ā āāā cache.ts # File-based cache (15min/1hr TTL)
ā āāā format.ts # Terminal + markdown formatters
āāā data/
ā āāā watchlist.json # Accounts to monitor
ā āāā cache/ # Auto-managed
āāā references/
āāā twitterapi-io.md # API endpoint reference
Requirements
- Node.js 18+ (for native
fetch) - A TwitterAPI.io API key
- No npm install needed ā zero dependencies