smithery/jeremylongshore

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". '

Installation

$ npx skills add smithery/jeremylongshore --skill exa-webhooks-events

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More details

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Skill metadata

Parsed from SKILL.md frontmatter.

Version1.11.0
LicenseMIT
CompatibilityDesigned for Claude Code
Allowed toolsRead, Write, Edit, Bash(curl:*), Bash(node:*)
Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 7,075 B
  • docs SUMMARY.md 337 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Exa Webhooks & Events

Output

  • A verified signed/idempotent event path with redacted observability, bounded retry, and recovery ownership.
  • A receipt with correlation ID, environment, type, state/result, and safe replay decision.

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 EXAAPIKEY configured
  • Queue 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 monitorQueue = new Queue("exa-monitors", {
  connection: { host: "localhost", port: 6379 },
});

async function createMonitor(config: Omit<SearchMonitor, "lastResultUrls">) {
  await monitorQueue.add("check-search", config, {
    repeat: { every: config.intervalMinutes * 60 * 1000 },
    jobId: config.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;

  // Search for new content published since last check
  const results = await exa.searchAndContents(monitor.query, {
    type: monitor.searchType || "auto",
    numResults: 10,
    text: { maxCharacters: 500 },
    highlights: { maxCharacters: 300, query: monitor.query },
    // Only find content published in the monitoring window
    startPublishedDate: getLastCheckDate(monitor.id),
  });

  // Filter to genuinely new results
  const newResults = results.results.filter(
    r => !monitor.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,
      })),
    });

    // Update tracked URLs
    await updateLastResultUrls(monitor.id, newResults.map(r => 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,
    // Only find content from the last check period
    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.