feat: add Exa AI-powered search tool (#266)
Adds Exa as an AI search integration for content research, competitor discovery, link prospecting, news monitoring, and audience research. - CLI (tools/clis/exa.js): zero-dep Node.js wrapper for /search, /findSimilar, and /contents with neural/auto/fast/deep search types, category + domain + text + date filtering, and composable content retrieval (text, highlights, summary) in a single request - Integration guide (tools/integrations/exa.md): auth, endpoints, common agent operations, parameters, and linked skills - Registry entry under new 'AI Search' category + MCP-enabled list - Uses EXA_API_KEY env var with --dry-run support and masked credentials
This commit is contained in:
@@ -74,6 +74,7 @@ Quick reference for AI agents to discover tool capabilities and integration meth
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| introw | Partner Ecosystem | - | ✓ | - | - | [introw.md](integrations/introw.md) |
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| pendo | Product Analytics | ✓ | - | [✓](clis/pendo.js) | - | [pendo.md](integrations/pendo.md) |
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| similarweb | Competitive Intelligence | ✓ | - | [✓](clis/similarweb.js) | - | [similarweb.md](integrations/similarweb.md) |
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| exa | AI Search | ✓ | ✓ | [✓](clis/exa.js) | ✓ | [exa.md](integrations/exa.md) |
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| firehose | Competitive Intelligence | ✓ | - | - | - | [firehose.md](integrations/firehose.md) |
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| sparktoro | Audience Research | - | - | - | - | [sparktoro.md](integrations/sparktoro.md) |
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| rb2b | Visitor Identification | ✓ | - | - | - | [rb2b.md](integrations/rb2b.md) |
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@@ -390,6 +391,16 @@ AI-powered content generation and optimization platforms.
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**Agent recommendation**: AirOps for building AI content workflows that generate SEO-optimized content at scale.
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### AI Search
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AI-powered web search APIs built for LLMs and agents. Return structured results with on-demand text, highlights, and summaries.
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| Tool | Best For | Notes |
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|------|----------|-------|
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| **exa** | Neural/semantic web search, content research, competitor discovery | Search + findSimilar + Contents; MCP and SDKs available |
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**Agent recommendation**: Exa for neural search over the open web — content research, competitor/similar-page discovery, link prospecting, news monitoring, and audience research. Pairs well with seo-audit, content-strategy, and competitor-profiling skills.
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### Partner Ecosystem
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Partner data sharing, co-sell, and ecosystem management.
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@@ -471,6 +482,7 @@ These tools have Model Context Protocol servers available, enabling direct agent
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- **outreach** - Sales engagement sequences
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- **crossbeam** - Partner ecosystem data
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- **introw** - Partner relationship management
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- **exa** - AI-powered web search for LLMs and agents
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To use MCP tools, ensure the appropriate MCP server is configured in your environment.
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@@ -50,6 +50,7 @@ Every CLI reads credentials from environment variables:
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| `dataforseo` | `DATAFORSEO_LOGIN`, `DATAFORSEO_PASSWORD` |
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| `demio` | `DEMIO_API_KEY`, `DEMIO_API_SECRET` |
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| `dub` | `DUB_API_KEY` |
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| `exa` | `EXA_API_KEY` |
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| `g2` | `G2_API_TOKEN` |
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| `ga4` | `GA4_ACCESS_TOKEN` |
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| `google-ads` | `GOOGLE_ADS_TOKEN`, `GOOGLE_ADS_DEVELOPER_TOKEN`, `GOOGLE_ADS_CUSTOMER_ID` |
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@@ -148,6 +149,7 @@ DOMAINS=$(rewardful affiliates list | jq -r '.data[].email')
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| `dataforseo.js` | SEO | [DataForSEO](https://dataforseo.com) |
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| `demio.js` | Webinar | [Demio](https://demio.com) |
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| `dub.js` | Links | [Dub.co](https://dub.co) |
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| `exa.js` | AI Search | [Exa](https://exa.ai) |
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| `g2.js` | Reviews | [G2](https://g2.com) |
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| `ga4.js` | Analytics | [Google Analytics 4](https://analytics.google.com) |
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| `google-ads.js` | Ads | [Google Ads](https://ads.google.com) |
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Executable
+147
@@ -0,0 +1,147 @@
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#!/usr/bin/env node
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const API_KEY = process.env.EXA_API_KEY
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const BASE_URL = 'https://api.exa.ai'
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if (!API_KEY) {
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console.error(JSON.stringify({ error: 'EXA_API_KEY environment variable required' }))
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process.exit(1)
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}
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async function api(method, path, body) {
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if (args['dry-run']) {
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return { _dry_run: true, method, url: `${BASE_URL}${path}`, headers: { 'x-api-key': '***', 'Content-Type': 'application/json', 'x-exa-integration': 'marketingskills' }, body: body || undefined }
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}
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const res = await fetch(`${BASE_URL}${path}`, {
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method,
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headers: {
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'x-api-key': API_KEY,
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'Content-Type': 'application/json',
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'x-exa-integration': 'marketingskills',
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},
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body: body ? JSON.stringify(body) : undefined,
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})
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const text = await res.text()
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try {
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return JSON.parse(text)
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} catch {
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return { status: res.status, body: text }
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}
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}
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function parseArgs(args) {
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const result = { _: [] }
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for (let i = 0; i < args.length; i++) {
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const arg = args[i]
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if (arg.startsWith('--')) {
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const key = arg.slice(2)
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const next = args[i + 1]
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if (next && !next.startsWith('--')) {
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result[key] = next
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i++
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} else {
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result[key] = true
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}
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} else {
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result._.push(arg)
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}
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}
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return result
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}
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function buildContents(args) {
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const contents = {}
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if (args.text) {
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contents.text = args['max-chars']
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? { maxCharacters: Number(args['max-chars']) }
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: true
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}
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if (args.highlights) {
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contents.highlights = args['highlight-query']
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? { query: args['highlight-query'] }
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: true
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}
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if (args.summary) {
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contents.summary = args['summary-query']
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? { query: args['summary-query'] }
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: {}
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}
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return Object.keys(contents).length ? contents : null
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}
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const args = parseArgs(process.argv.slice(2))
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const [cmd, ...rest] = args._
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async function main() {
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let result
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switch (cmd) {
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case 'search': {
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const query = args.query || rest.join(' ')
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if (!query) { result = { error: '--query required' }; break }
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const body = { query }
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if (args.type) body.type = args.type
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if (args.num) body.numResults = Number(args.num)
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if (args.category) body.category = args.category
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if (args['include-domains']) body.includeDomains = args['include-domains'].split(',').map(s => s.trim())
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if (args['exclude-domains']) body.excludeDomains = args['exclude-domains'].split(',').map(s => s.trim())
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if (args['include-text']) body.includeText = args['include-text'].split(',').map(s => s.trim())
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if (args['exclude-text']) body.excludeText = args['exclude-text'].split(',').map(s => s.trim())
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if (args['start-published']) body.startPublishedDate = args['start-published']
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if (args['end-published']) body.endPublishedDate = args['end-published']
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if (args['start-crawl']) body.startCrawlDate = args['start-crawl']
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if (args['end-crawl']) body.endCrawlDate = args['end-crawl']
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if (args['user-location']) body.userLocation = args['user-location']
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const contents = buildContents(args)
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if (contents) body.contents = contents
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result = await api('POST', '/search', body)
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break
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}
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case 'find-similar': {
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const url = args.url
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if (!url) { result = { error: '--url required' }; break }
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const body = { url }
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if (args.num) body.numResults = Number(args.num)
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if (args['include-domains']) body.includeDomains = args['include-domains'].split(',').map(s => s.trim())
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if (args['exclude-domains']) body.excludeDomains = args['exclude-domains'].split(',').map(s => s.trim())
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if (args['start-published']) body.startPublishedDate = args['start-published']
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if (args['end-published']) body.endPublishedDate = args['end-published']
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if (args['start-crawl']) body.startCrawlDate = args['start-crawl']
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if (args['end-crawl']) body.endCrawlDate = args['end-crawl']
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const contents = buildContents(args)
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if (contents) body.contents = contents
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result = await api('POST', '/findSimilar', body)
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break
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}
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case 'contents': {
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const urls = args.urls?.split(',').map(s => s.trim())
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if (!urls || !urls.length) { result = { error: '--urls required (comma-separated)' }; break }
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const body = { urls }
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const contents = buildContents(args)
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if (contents) Object.assign(body, contents)
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else body.text = true
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result = await api('POST', '/contents', body)
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break
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}
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default:
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result = {
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error: 'Unknown command',
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usage: {
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search: 'search --query <q> [--type neural|fast|auto|deep-lite|deep|deep-reasoning|instant] [--num <n>] [--category company|research paper|news|personal site|financial report|people] [--include-domains <d1,d2>] [--exclude-domains <d1,d2>] [--include-text <phrases>] [--exclude-text <phrases>] [--start-published <ISO>] [--end-published <ISO>] [--user-location <CC>] [--text] [--highlights] [--summary] [--max-chars <n>] [--highlight-query <q>] [--summary-query <q>]',
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'find-similar': 'find-similar --url <url> [--num <n>] [--include-domains <d1,d2>] [--exclude-domains <d1,d2>] [--start-published <ISO>] [--end-published <ISO>] [--text] [--highlights] [--summary]',
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contents: 'contents --urls <url1,url2> [--text] [--highlights] [--summary] [--max-chars <n>] [--highlight-query <q>] [--summary-query <q>]',
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options: '--dry-run (preview request without sending)',
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}
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}
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}
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console.log(JSON.stringify(result, null, 2))
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}
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main().catch(err => {
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console.error(JSON.stringify({ error: err.message }))
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process.exit(1)
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})
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@@ -0,0 +1,145 @@
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# Exa
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AI-powered web search API built for LLMs and agents. Returns high-quality search results with neural and keyword matching, plus on-demand content retrieval (full text, highlights, and summaries) in a single request.
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## Capabilities
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| Integration | Available | Notes |
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|-------------|-----------|-------|
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| API | ✓ | Search, Find Similar, Contents |
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| MCP | ✓ | Official MCP server available |
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| CLI | ✓ | [exa.js](../clis/exa.js) |
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| SDK | ✓ | `exa-py` (Python), `exa-js` (TypeScript) |
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## Authentication
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- **Type**: API Key
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- **Header**: `x-api-key: {key}`
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- **Get key**: https://dashboard.exa.ai
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## Endpoints
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Base URL: `https://api.exa.ai`
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| Endpoint | Purpose |
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|----------|---------|
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| `POST /search` | Search the web with neural, keyword-like, or auto-routed modes |
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| `POST /findSimilar` | Find pages similar to a given URL |
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| `POST /contents` | Fetch text, highlights, or summaries for one or more URLs |
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## Common Agent Operations
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### Web Search with Content
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```bash
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POST https://api.exa.ai/search
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{
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"query": "best B2B SaaS onboarding flows",
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"type": "auto",
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"numResults": 10,
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"contents": {
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"text": { "maxCharacters": 1000 },
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"highlights": true
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}
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}
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```
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### Competitor Content Discovery
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```bash
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POST https://api.exa.ai/search
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{
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"query": "landing page teardowns",
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"includeDomains": ["goodui.org", "growth.design", "marketingexamples.com"],
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"startPublishedDate": "2024-01-01T00:00:00Z",
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"contents": { "highlights": true }
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}
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```
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### Find Similar Pages
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```bash
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POST https://api.exa.ai/findSimilar
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{
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"url": "https://stripe.com/pricing",
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"numResults": 20,
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"contents": { "summary": { "query": "What pricing model and price points does this page use?" } }
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}
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```
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### Category-Filtered Search
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```bash
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POST https://api.exa.ai/search
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{
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"query": "DTC beauty brand raising Series A",
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"category": "news",
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"numResults": 25,
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"startPublishedDate": "2024-06-01T00:00:00Z"
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}
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```
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### Fetch Contents for Known URLs
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```bash
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POST https://api.exa.ai/contents
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{
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"urls": ["https://example.com/post-1", "https://example.com/post-2"],
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"text": true,
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"summary": { "query": "Summarize this article's key argument in one paragraph." }
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}
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```
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## Key Parameters
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### Search Types
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- `auto` - Automatically routes between neural and keyword matching (default)
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- `neural` - Embedding-based semantic search; best for concept/idea queries
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- `fast` - Lower-latency neural search
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- `instant` - Returns cached results near-instantly
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- `deep-lite`, `deep`, `deep-reasoning` - Agentic search variants that plan multiple queries and synthesize
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### Categories
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`company`, `research paper`, `news`, `personal site`, `financial report`, `people`
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### Filtering
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- `includeDomains` / `excludeDomains` - Restrict to or exclude specific domains (up to 1200)
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- `includeText` / `excludeText` - Require or forbid phrases in result pages
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- `startPublishedDate` / `endPublishedDate` - ISO 8601 publication date range
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- `startCrawlDate` / `endCrawlDate` - ISO 8601 crawl date range
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- `userLocation` - Two-letter country code (e.g., `US`)
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### Contents (Mix and Match)
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All three can be requested in the same call:
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- `text: true` or `{ maxCharacters, includeHtmlTags, verbosity }` - Full or truncated page text
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- `highlights: true` or `{ query, maxCharacters }` - LLM-selected relevant snippets
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- `summary: { query, schema }` - LLM-generated summary, optionally conforming to a JSON schema
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## When to Use
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- **Content research** - Find high-quality long-form content on niche topics by meaning, not just keywords
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- **Competitor discovery** - Find companies similar to one you've identified via `findSimilar`
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- **SEO content gap analysis** - Search for topics your competitors rank for and pull highlights for quick review
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- **Customer research** - Find forum threads, blog posts, and reviews about your product or category
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- **Audience research** - Discover blogs, newsletters, and communities where your ICP publishes or comments
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- **News monitoring** - Track mentions of your brand, competitors, or category with date-filtered news search
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- **Link prospecting** - Find authoritative pages covering topics you write about, for outreach
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- **Lead research** - Use the `company` and `people` categories to discover accounts or individuals matching criteria
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## Rate Limits
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- Varies by plan; see https://exa.ai/pricing
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- Most production plans support hundreds of concurrent requests
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- Content retrieval (text/highlights/summary) is billed separately from the base search
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## Relevant Skills
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- seo-audit
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- ai-seo
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- content-strategy
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- competitor-profiling
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- competitor-alternatives
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- customer-research
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- cold-email
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- lead-magnets
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- marketing-ideas
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Reference in New Issue
Block a user