# Exa X Search

> Search tweets and X/Twitter content using Exa. Finds social discussions, product announcements, developer opinions, trending topics, and community sentiment. Use when searching for tweets, X/Twitter discussions, or social media sentiment.

- Skill: `codealive-ai/exa-x-search` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add codealive-ai/exa-x-search`
- Raw SKILL.md: https://api.skillmd.com/api/skills/codealive-ai/exa-x-search/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools, AI & ML
- Author: CodeAlive-AI (https://skillmd.com/u/codealive-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/codealive-ai/exa-x-search

---


# X/Twitter Search (Exa)

## Tool

Call the native MCP tool `exa-search__web_search_advanced_exa` directly with `category: "tweet"`.

**Always include `category: "tweet"`.**

## Critical Filter Restrictions

The `tweet` category has **very limited** filter support. These params cause errors:

| Param | Status |
|-------|--------|
| `includeText` | NOT SUPPORTED — 400 error |
| `excludeText` | NOT SUPPORTED — 400 error |
| `includeDomains` | NOT SUPPORTED — 400 error |
| `excludeDomains` | NOT SUPPORTED — 400 error |
| `moderation` | NOT SUPPORTED — 500 error |

**Use the query string itself to filter content** — put keywords, hashtags, and exclusions in `query`.

## Supported Parameters

- `query`, `numResults`, `type`
- Date: `startPublishedDate`, `endPublishedDate`, `startCrawlDate`, `endCrawlDate`
- Content: `textMaxCharacters`, `enableHighlights`, `enableSummary`
- `additionalQueries` — for hashtag variations
- `livecrawl=preferred` — for recent tweets

## Call Examples

Tool: `exa-search__web_search_advanced_exa`

```
# Recent tweets on a topic
{ query: "Claude Code MCP experience", category: "tweet", startPublishedDate: "2025-01-01",
  numResults: 20, type: "auto", livecrawl: "preferred" }

# Product announcements (keywords in query, not includeText)
{ query: "announcing new open source AI tool release", category: "tweet",
  startPublishedDate: "2025-12-01", numResults: 15, type: "auto" }

# Developer sentiment
{ query: "developer experience frustrating painful bug", category: "tweet",
  numResults: 20, type: "deep", livecrawl: "preferred" }

# Competitor monitoring
{ query: "[INCUMBENT_PRODUCT] review feedback", category: "tweet",
  startPublishedDate: "2025-06-01", numResults: 25, type: "auto" }
```

## When to Use

- Social discussions and community sentiment
- Product announcements from company accounts
- Developer opinions and experiences
- Trending topics
- Expert takes and threads
- Competitor/market signal monitoring

## Output Format

Return:
1. Results — tweet content, author handle, date, engagement if visible
2. Sources — tweet URLs
3. Notes — sentiment summary, notable accounts, threads vs single tweets

Note: tweet content can be informal, sarcastic, or context-dependent.