x-api
The x-api skill provides read-only access to X (Twitter) content through five MCP tools for sentiment analysis, event tracking, and qualitative research. Use it to search posts from the last seven days or archive (paid tier), fetch user profiles with engagement metrics, retrieve specific tweets, and read full reply threads. Ideal for tracking sentiment on tickers, executive announcements, product launches, and gathering social context alongside financial or market data. Not needed for single post URL lookups, which should use web_fetch instead.
git clone --depth 1 https://github.com/ginlix-ai/LangAlpha /tmp/x-api && cp -r /tmp/x-api/skills/x-api ~/.claude/skills/x-apiSKILL.md
# X (Twitter) API
Read-only access to X content via five MCP tools. Use for sentiment on tickers, exec announcements, launches, event tracking, and qualitative research alongside SEC/market data.
> **Not for single-post URL lookups.** If the user hands you a specific X post URL and just wants its text or context, use `web_fetch` on the URL — no vault, no auth, no rate limit. Reach for this skill when the task is **search, aggregation, or thread traversal**.
## Auth
Every tool requires a `bearer_token`. Read it once per code block from the workspace vault:
```python
from vault import get
token = get("X_BEARER_TOKEN")
```
If `token` is `None` or empty, the user hasn't added it yet. For the setup walkthrough and per-error fixes, see [TROUBLESHOOTING.md](./TROUBLESHOOTING.md).
## Tools at a glance
The primary use case is **search** — the first two tools are what you'll reach for most.
| Tool | Use for | Page size | Notes |
|---|---|---|---|
| `search_posts` | Posts from the last ~7 days | default 10, max 100 | Default choice. Query ≤512 chars. |
| `search_all_posts` | Posts older than 7 days (back to 2006) | default 10, max 500 | Paid-tier X plan only. Query ≤1024 chars. |
| `get_conversation` | Reply thread to a root tweet | default 50, max 100 | Uses recent search — thread must be ≤7 days old. Root tweet not included. |
| `get_user_by_username` | A user profile + metrics | — | Handle without `@`, ≤15 chars. |
| `get_tweet_by_id` | Hydrate a single post (mainly to find its `conversation_id` before `get_conversation`) | — | For a one-off URL the user already has, prefer `web_fetch`. |
## Examples
### Recent sentiment on a ticker
```python
res = search_posts(
query="$NVDA -is:retweet lang:en",
bearer_token=token,
max_results=100,
)
posts = res["posts"]
posts.sort(key=lambda p: p["public_metrics"].get("impression_count", 0), reverse=True)
for p in posts[:10]:
print(p["author"]["username"], p["public_metrics"].get("like_count"), p["text"][:140])
```
### Historical reaction to a past event
```python
res = search_all_posts(
query="$TSLA earnings -is:retweet lang:en",
bearer_token=token,
max_results=500,
start_time="2020-03-13T00:00:00Z",
end_time="2020-03-20T00:00:00Z",
)
```
### Full thread on a specific tweet
```python
root = get_tweet_by_id(tweet_id="1700000000000000001", bearer_token=token)
thread = get_conversation(
conversation_id=root["post"]["conversation_id"],
bearer_token=token,
max_results=100,
)
all_posts = [root["post"], *thread["posts"]]
```
### Paginate through a large result
```python
posts, next_tok = [], None
while len(posts) < 500:
res = search_posts(
query="from:FedSpeakers",
bearer_token=token,
max_results=100,
next_token=next_tok,
)
if "error" in res:
break
posts.extend(res["posts"])
next_tok = res.get("next_token")
if not next_tok:
break
```
## Post shape
Each post: `id`, `text`, `created_at`, `lang`, `conversation_id`, `author_id`, `edit_history_tweet_ids`, `public_metrics` (retweet/reply/like/quote/bookmark/impression counts), `author` — which is `{id, username, name, verified}`, `{id, unresolved: true}` for suspended/deleted users, or `None` if the tweet has no author_id.
Full per-tool response schemas (including user shape and error variants): [reference.md](./reference.md).
## Query syntax
`$TSLA` (cashtag), `#hashtag`, `from:elonmusk`, `to:@SEC_News`, `-is:retweet`, `is:verified`, `has:links`, `has:media`, `lang:en`, `"exact phrase"`, parentheses + `OR` for alternation. Full list: https://docs.x.com/x-api/posts/search/introduction.
## Errors
Every tool returns `{"error": "...", ...}` on failure — they never raise. Always check for `error` before accessing `posts` / `user` / `post`. For the per-error playbook (including setup fixes and tier gotchas), read [TROUBLESHOOTING.md](./TROUBLESHOOTING.md).
## Do / Don't
- **Do** read `token = get("X_BEARER_TOKEN")` once and reuse it across calls.
- **Do** cross-reference with `get_stock_daily_prices` and `get_sec_filing` when investigating price moves or disclosures.
- **Don't** hardcode tokens. Ever.
- **Don't** cache `next_token` across sessions — cursors can expire.
- **Don't** assume every author is resolved — check for `{unresolved: true}` before reading `username`.
## Related
- `get_stock_daily_prices` — cross-reference X sentiment with price action
- `get_sec_filing` — pair chatter with official disclosures
- `scrapling` `get` / `fetch` — fallback for public pages when the API is blocked
- `web_search` — broader news search that also indexes X postsIntegrated 3-statement financial model: linked income statement, balance sheet, and cash flow
Create and manage scheduled and price-triggered automations.
Event tracker: earnings dates, economic releases, conferences, regulatory events
Investment deck QC: number consistency, data-narrative alignment, IB language, formatting audit
Financial model audit: structural checks, formula validation, integrity testing
Competitive landscape analysis: positioning, scorecards, moat assessment, market share trends
Comparable company analysis: operating metrics, valuation multiples, peer benchmarking
DCF valuation: free cash flow projections, WACC, terminal value, sensitivity analysis