Use Cases

const ORTH_KEY = process.env.ORTHOGONAL_API_KEY;

async function run(api, path, body) {
  const res = await fetch('https://api.orth.sh/v1/run', {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${ORTH_KEY}`,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({ api, path, body })
  });
  return res.json();
}

async function researchLead(company) {
  // Step 1: Research the company with AI search
  const research = await run('linkup', '/search', {
    q: `${company} company funding valuation news 2026`,
    depth: 'standard'
  });
  
  // Step 2: Find contacts at the company
  const contacts = await run('hunter', '/domain-search', {
    domain: `${company}.com`
  });
  
  // Step 3: Enrich the top contact
  const topContact = contacts.data?.data?.emails?.[0];
  if (topContact?.value) {
    const enriched = await run('apollo', '/v1/people/match', {
      email: topContact.value
    });
    return { research: research.data, contact: enriched.data };
  }
  
  return { research: research.data, contacts: contacts.data };
}


const result = await researchLead('stripe');

async function analyzeCompetitor(domain, linkedinSlug) {
  // Step 1: Get their recent LinkedIn posts
  const posts = await run('shofo', '/linkedin/company-posts', {
    company_url: `https://linkedin.com/company/${linkedinSlug}`
  });
  
  // Step 2: Extract brand assets - logos, colors
  const brand = await run('brand-dev', '/v1/brand/retrieve', {
    domain: domain
  });
  
  // Step 3: Scrape their pricing page
  const pricing = await run('olostep', '/v1/scrapes', {
    url_to_scrape: `https://${domain}/pricing`,
    formats: ['markdown']
  });
  
  return {
    socialActivity: posts.data,
    brandAssets: brand.data,
    pricingInfo: pricing.data
  };
}


const intel = await analyzeCompetitor('notion.so', 'notionhq');

async function findEngagedProspects(criteria) {
  // Step 1: Find people matching your ICP
  const prospects = await run('fiber', '/v1/natural-language-search/profiles', {
    query: criteria,
    limit: 10
  });
  
  const enrichedProspects = [];
  
  for (const person of prospects.data?.profiles || []) {
    // Step 2: Check their recent LinkedIn activity
    const activity = await run('shofo', '/linkedin/user-posts', {
      profile_url: person.linkedin_url
    });
    
    // Step 3: Find their email
    const email = await run('tomba', '/v1/linkedin', {
      url: person.linkedin_url
    });
    
    enrichedProspects.push({
      ...person,
      recentPosts: activity.data?.posts?.slice(0, 3),
      email: email.data?.data?.email
    });
  }
  
  return enrichedProspects;
}


const prospects = await findEngagedProspects(
  'VP of Sales at Series B SaaS companies in San Francisco'
);

async function abmResearch(targetDomain) {
  // Step 1: Get company brand info and products
  const company = await run('brand-dev', '/v1/brand/retrieve', {
    domain: targetDomain
  });
  
  // Step 2: Find decision makers
  const people = await run('fiber', '/v1/natural-language-search/profiles', {
    query: `executives and VPs at ${targetDomain} company`,
    limit: 5
  });
  
  // Step 3: Enrich each person with contact details
  const enrichedPeople = [];
  for (const person of people.data?.profiles || []) {
    const enriched = await run('apollo', '/v1/people/match', {
      linkedin_url: person.linkedin_url
    });
    enrichedPeople.push({
      ...person,
      contact: enriched.data?.person
    });
  }
  
  return {
    company: company.data,
    decisionMakers: enrichedPeople
  };
}


const account = await abmResearch('figma.com');

async function monitorTriggers(companyHandle, domain) {
  // Step 1: Get recent tweets mentioning the company
  const tweets = await run('shofo', '/x/user-posts', {
    username: companyHandle
  });
  
  // Step 2: Search for recent news/announcements
  const news = await run('linkup', '/search', {
    q: `${domain} announcement funding launch 2026`,
    depth: 'standard'
  });
  
  // Step 3: Extract structured triggers from the news
  const triggers = await run('riveter', '/v1/run', {
    input: news.data?.results?.map(r => r.content).join('\n\n'),
    output_schema: {
      type: 'object',
      properties: {
        funding_events: { type: 'array', items: { type: 'string' } },
        product_launches: { type: 'array', items: { type: 'string' } },
        hiring_signals: { type: 'array', items: { type: 'string' } },
        expansion_news: { type: 'array', items: { type: 'string' } }
      }
    }
  });
  
  return {
    socialActivity: tweets.data,
    news: news.data,
    triggers: triggers.data
  };
}


const signals = await monitorTriggers('stripe', 'stripe.com');