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exa-webhooks-events Build event-driven integrations with Exa using scheduled monitors and content alerts.
Use when building content monitoring, competitive intelligence pipelines,
or scheduled search automation with Exa.
Trigger with phrases like "exa monitor", "exa content alerts",
"exa scheduled search", "exa event-driven", "exa notifications".
الانتقال إلى التثبيت سوق المهارات اكتشف واستكشف مهارات الذكاء الاصطناعي التي بناها المجتمع.
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عرض تفاصيل Prompt يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill exa-webhooks-eventsيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
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تحميل Zip جاري التحميل... المزيد من هذا المستودع langchain-deploy-integration Deploy a LangChain 1.0 / LangGraph 1.0 app to Cloud Run, Vercel, or LangServe correctly — with timeouts sized for chain length, cold-start mitigation, SSE anti-buffering headers, and Secret Manager over .env. Use when prepping a first production deploy, debugging a stream that hangs behind a proxy, or diagnosing p99 latency spikes. Trigger with "langchain deploy", "langchain cloud run", "langchain vercel python", "langchain langserve", or "langchain docker".
langchain-langgraph-agents Build a correct LangGraph 1.0 ReAct agent with create_react_agent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. Use when writing a first tool-calling agent, migrating from AgentExecutor or initialize_agent, or diagnosing an agent that loops on vague prompts. Trigger with "langgraph agent", "create_react_agent", "langgraph tool calling", "AgentExecutor migration", or "agent loop cost".
langchain-langgraph-human-in-loop Build LangGraph 1.0 human-in-the-loop approval flows with interrupt_before /
interrupt_after and Command(resume=...) — JSON-serializable state, clean
resume semantics, and UI wiring for approval decisions. Use when adding an
approval gate before an expensive tool call, wiring a Slack/web UI for agent
approvals, or debugging a graph that crashes on interrupt.
Trigger with "langgraph human in loop", "langgraph interrupt_before",
"langgraph approval flow", "Command resume", "langgraph HITL".
name exa-webhooks-events description Build event-driven integrations with Exa using scheduled monitors and content alerts.
Use when building content monitoring, competitive intelligence pipelines,
or scheduled search automation with Exa.
Trigger with phrases like "exa monitor", "exa content alerts",
"exa scheduled search", "exa event-driven", "exa notifications".
allowed-tools Read, Write, Edit, Bash(curl:*), Bash(node:*) version 1.11.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","exa","webhooks","monitoring","automation"] compatibility Designed for Claude Code
Exa Webhooks & Events
Overview
Build event-driven integrations around Exa neural search. Exa is a synchronous search API (no native webhooks), so this skill covers building async patterns: scheduled content monitoring with searchAndContents, similarity alerts with findSimilarAndContents, new content detection using date filters, and webhook-style notification delivery.
Prerequisites
exa-js installed and EXA_API_KEY configuredQueue system (BullMQ/Redis) or cron scheduler
Webhook endpoint for notifications
Event Patterns
Pattern Mechanism Use Case Content monitor Scheduled searchAndContents with startPublishedDate New article alerts Similarity alert Periodic findSimilarAndContents + diff Competitive monitoring Content change Re-search + compare result sets Update tracking Research digest Scheduled answer + email/Slack Daily briefings
Instructions
Step 1: Content Monitor Service
import Exa from "exa-js" ;
import { Queue , Worker } from "bullmq" ;
const exa = new Exa (process.env .EXA_API_KEY !);
interface SearchMonitor {
id : string ;
query : string ;
webhookUrl : string ;
lastResultUrls : Set
string
intervalMinutes
number
searchType
"auto"
"neural"
"keyword"
const
new
Queue
"exa-monitors"
connection
host
"localhost"
port
6379
async
function
createMonitor
config : Omit <SearchMonitor , "lastResultUrls" >
await
add
"check-search"
repeat
every
intervalMinutes
60
1000
jobId
id
console
log
`Monitor created: ${config.id} (every ${config.intervalMinutes} min)`
Step 2: Execute Monitored Searches const worker = new Worker ("exa-monitors" , async (job) => {
const monitor = job.data ;
const results = await exa.searchAndContents (monitor.query , {
type : monitor.searchType || "auto" ,
numResults : 10 ,
text : { maxCharacters : 500 },
highlights : { maxCharacters : 300 , query : monitor.query },
startPublishedDate : getLastCheckDate (monitor.id ),
});
const newResults = results.results .filter (
r =>lastResultUrls ?.has (r.url )
);
if (newResults.length > 0 ) {
await sendWebhook (monitor.webhookUrl , {
event : "exa.new_results" ,
monitorId : monitor.id ,
query : monitor.query ,
timestamp : new Date ().toISOString (),
results : newResults.map (r =>title : r.title ,
url : r.url ,
snippet : r.text ?.substring (0 , 200 ),
highlights : r.highlights ,
publishedDate : r.publishedDate ,
score : r.score ,
})),
});
await updateLastResultUrls (monitor.id , newResults.map (r =>url ));
}
}, { connection : { host : "localhost" , port : 6379 } });
Step 3: Similarity Alert System async function monitorSimilarContent (
seedUrl : string ,
webhookUrl : string ,
checkIntervalHours = 24
) {
const results = await exa.findSimilarAndContents (seedUrl, {
numResults : 5 ,
text : { maxCharacters : 300 },
excludeSourceDomain : true ,
startPublishedDate : new Date (
Date .now () - checkIntervalHours * 60 * 60 * 1000
).toISOString (),
});
if (results.results .length > 0 ) {
await sendWebhook (webhookUrl, {
event : "exa.similar_content_found" ,
seedUrl,
matchCount : results.results .length ,
matches : results.results .map (r =>title : r.title ,
url : r.url ,
snippet : r.text ?.substring (0 , 200 ),
score : r.score ,
})),
});
}
return results.results .length ;
}
Step 4: Webhook Delivery with Retry async function sendWebhook (url : string , payload : any , maxRetries = 3 for (let attempt = 0 ; attempt < maxRetries; attempt++) {
try {
const response = await fetch (url, {
method : "POST" ,
headers : {
"Content-Type" : "application/json" ,
"X-Exa-Event" : payload.event ,
},
body : JSON .stringify (payload),
});
if (response.ok ) return ;
console .warn (`Webhook ${response.status} : ${url} ` );
} catch (error) {
if (attempt === maxRetries - 1 ) throw error;
}
await new Promise (r =>setTimeout (r, 1000 * Math .pow (2 , attempt)));
}
}
Step 5: Daily Research Digest async function generateDailyDigest (
topics : string [],
webhookUrl : string
) {
const digest = [];
for (const topic of topics) {
const results = await exa.searchAndContents (topic, {
type : "neural" ,
numResults : 3 ,
summary : { query : `Latest developments in: ${topic} ` },
startPublishedDate : new Date (
Date .now () - 24 * 60 * 60 * 1000
).toISOString (),
});
digest.push ({
topic,
articles : results.results .map (r =>title : r.title ,
url : r.url ,
summary : r.summary ,
})),
});
}
await sendWebhook (webhookUrl, {
event : "exa.daily_digest" ,
date : new Date ().toISOString ().split ("T" )[0 ],
topics : digest,
});
}
Error Handling Issue Cause Solution Rate limited monitors Too many concurrent checks Stagger monitor intervals Empty results Date filter too narrow Widen to 48-hour windows Duplicate alerts Missing URL dedup Track result URLs between runs Webhook delivery fails Endpoint down Retry with exponential backoff
Examples
Create a Competitive Intelligence Monitor await createMonitor ({
id : "competitor-watch" ,
query : "AI code review tools launch announcement" ,
webhookUrl : "https://api.myapp.com/webhooks/exa-alerts" ,
intervalMinutes : 60 ,
searchType : "neural" ,
});
Resources
Next Steps For deployment setup, see exa-deploy-integration.
