Use Cases — Combine JSNH Engine Lab modules | Practical pipelines

#014 tokens / pipeline

User registration pipeline

Validate every new signup in real time: check the email is real, not disposable, has active MX records, and contains no sensitive personal data.

SaaSE-commerceMarketplaces

Pipeline modules

Step-by-step flow

1User enters their email in the signup form.
2email-validator checks format and active domain.
3disposable-email detects if it's a temporary provider (Mailinator, etc.).
4mx-checker verifies the domain has valid MX records.
5pii-detector scans name/bio for sensitive data before saving.

Code example

// 1. Validate email
const email = await fetch('/api/v1/email-validator', {
  method: 'POST',
  headers: { 'X-API-Key': YOUR_KEY },
  body: JSON.stringify({ email: userInput })
}).then(r => r.json());

if (!email.valid) return { error: 'Invalid email' };

// 2. Check disposable
const disposable = await fetch('/api/v1/disposable-email', {
  method: 'POST',
  headers: { 'X-API-Key': YOUR_KEY },
  body: JSON.stringify({ email: userInput })
}).then(r => r.json());

if (disposable.isDisposable) return { error: 'Disposable email not allowed' };

// 3. Verify MX records
const mx = await fetch('/api/v1/mx-checker', {
  method: 'POST',
  headers: { 'X-API-Key': YOUR_KEY },
  body: JSON.stringify({ domain: userInput.split('@')[1] })
}).then(r => r.json());

if (!mx.hasMX) return { error: 'Domain has no mail server' };

// ✅ All checks passed — proceed with registration

#024 tokens / pipeline

European B2B onboarding

Verify the tax identity of European companies: validate VAT number, bank IBAN, corporate domain, and access geolocation.

FintechFacturaciónERP

Pipeline modules

Step-by-step flow

1Company enters their VAT/NIF number in the form.
2vat-validator checks the number against the EU VIES registry.
3iban-validator checks the bank IBAN and its country of origin.
4domain-validator verifies the corporate domain is active.
5ip-lookup geolocates the access IP to detect inconsistencies.

Code example

// 1. Validate VAT number
const vat = await fetch('/api/v1/vat-validator', {
  method: 'POST',
  headers: { 'X-API-Key': YOUR_KEY },
  body: JSON.stringify({ vat: 'ES12345678A' })
}).then(r => r.json());

// 2. Validate IBAN
const iban = await fetch('/api/v1/iban-validator', {
  method: 'POST',
  headers: { 'X-API-Key': YOUR_KEY },
  body: JSON.stringify({ iban: 'ES9121000418450200051332' })
}).then(r => r.json());

// 3. Check corporate domain
const domain = await fetch('/api/v1/domain-validator', {
  method: 'POST',
  headers: { 'X-API-Key': YOUR_KEY },
  body: JSON.stringify({ domain: 'company.com' })
}).then(r => r.json());

// ✅ All identity checks passed — activate account

#034 tokens / pipeline

UGC content moderation

Automatically moderate user-generated content: detect spam, exposed personal data, extreme negative sentiment, and language to route to the right team.

ForosMarketplacesComunidades

Pipeline modules

Step-by-step flow

1User submits a comment or review on the platform.
2spam-detector analyzes if the content has spam patterns.
3pii-detector looks for exposed emails, phones, or IDs in the text.
4sentiment-analyzer evaluates the tone: positive, neutral, or negative.
5language-detector identifies the language to route to the right moderator.

Code example

// Parallel moderation pipeline
const [spam, pii, sentiment, lang] = await Promise.all([
  fetch('/api/v1/spam-detector', {
    method: 'POST',
    headers: { 'X-API-Key': YOUR_KEY },
    body: JSON.stringify({ text: userComment })
  }).then(r => r.json()),

  fetch('/api/v1/pii-detector', {
    method: 'POST',
    headers: { 'X-API-Key': YOUR_KEY },
    body: JSON.stringify({ text: userComment })
  }).then(r => r.json()),

  fetch('/api/v1/sentiment-analyzer', {
    method: 'POST',
    headers: { 'X-API-Key': YOUR_KEY },
    body: JSON.stringify({ text: userComment })
  }).then(r => r.json()),

  fetch('/api/v1/language-detector', {
    method: 'POST',
    headers: { 'X-API-Key': YOUR_KEY },
    body: JSON.stringify({ text: userComment })
  }).then(r => r.json()),
]);

if (spam.isSpam || pii.hasPII) flagForReview(userComment);

#044 tokens / pipeline

Editorial automation

Transform long articles into publishable content: summarize the text, extract SEO keywords, convert to clean HTML, and generate the URL slug.

BlogsCMSNewsletters

Pipeline modules

Step-by-step flow

1Editor uploads or pastes the article in Markdown.
2text-summarizer generates a 2-3 sentence summary for the meta description.
3keyword-extractor identifies the main keywords for SEO.
4markdown-to-html converts the content to clean, publishable HTML.
5slug-generator creates the SEO-friendly URL from the title.

Code example

const article = "# How to build a REST API\n\nBuilding a REST API...";
const title = "How to build a REST API";

// Run pipeline
const [summary, keywords, html, slug] = await Promise.all([
  fetch('/api/v1/text-summarizer', {
    method: 'POST',
    headers: { 'X-API-Key': YOUR_KEY },
    body: JSON.stringify({ text: article })
  }).then(r => r.json()),

  fetch('/api/v1/keyword-extractor', {
    method: 'POST',
    headers: { 'X-API-Key': YOUR_KEY },
    body: JSON.stringify({ text: article })
  }).then(r => r.json()),

  fetch('/api/v1/markdown-to-html', {
    method: 'POST',
    headers: { 'X-API-Key': YOUR_KEY },
    body: JSON.stringify({ markdown: article })
  }).then(r => r.json()),

  fetch('/api/v1/slug-generator', {
    method: 'POST',
    headers: { 'X-API-Key': YOUR_KEY },
    body: JSON.stringify({ text: title })
  }).then(r => r.json()),
]);

// Publish to CMS
publishPost({ html: html.html, meta: summary.summary, slug: slug.slug, tags: keywords.keywords });

#0520 tokens / pipeline

Technical documentation generation

Automate project documentation creation: generate changelogs, job descriptions, workflows, and task checklists from free text.

DevOpsHREquipos técnicos

Pipeline modules

Step-by-step flow

1Team enters release notes or sprint summary.
2changelog-generator structures the notes into a professional changelog.
3workflow-generator creates the deployment workflow step by step.
4text-to-checklist converts requirements into an actionable checklist.
5task-generator breaks down the work into assignable team tasks.

Code example

const sprintNotes = "Implemented OAuth login, fixed payment bug, added dark mode";

// Generate all docs in parallel
const [changelog, workflow, checklist, tasks] = await Promise.all([
  fetch('/api/v1/changelog-generator', {
    method: 'POST',
    headers: { 'X-API-Key': YOUR_KEY },
    body: JSON.stringify({ text: sprintNotes })
  }).then(r => r.json()),

  fetch('/api/v1/workflow-generator', {
    method: 'POST',
    headers: { 'X-API-Key': YOUR_KEY },
    body: JSON.stringify({ goal: 'Deploy v2.1.0 to production' })
  }).then(r => r.json()),

  fetch('/api/v1/text-to-checklist', {
    method: 'POST',
    headers: { 'X-API-Key': YOUR_KEY },
    body: JSON.stringify({ text: sprintNotes })
  }).then(r => r.json()),

  fetch('/api/v1/task-generator', {
    method: 'POST',
    headers: { 'X-API-Key': YOUR_KEY },
    body: JSON.stringify({ goal: sprintNotes })
  }).then(r => r.json()),
]);

#064 tokens / pipeline

Structured data pipeline

Process, validate, and transform data between formats: convert CSV to JSON, validate the structure, extract data from free text, and export back to CSV.

Data pipelinesETLIntegraciones

Pipeline modules

Step-by-step flow

1System receives a CSV file with customer data.
2csv-to-json converts the CSV to a structured JSON array.
3json-validator verifies the JSON has the expected schema.
4text-to-json extracts additional data from free-text fields.
5json-to-csv exports the enriched result back to CSV.

Code example

// 1. Convert CSV to JSON
const csvData = "name,email,notes\nAlice,[email protected],VIP customer from Madrid";

const json = await fetch('/api/v1/csv-to-json', {
  method: 'POST',
  headers: { 'X-API-Key': YOUR_KEY },
  body: JSON.stringify({ csv: csvData })
}).then(r => r.json());

// 2. Validate structure
const valid = await fetch('/api/v1/json-validator', {
  method: 'POST',
  headers: { 'X-API-Key': YOUR_KEY },
  body: JSON.stringify({ json: JSON.stringify(json.data) })
}).then(r => r.json());

// 3. Extract structured data from notes field
const extracted = await fetch('/api/v1/text-to-json', {
  method: 'POST',
  headers: { 'X-API-Key': YOUR_KEY },
  body: JSON.stringify({ text: json.data[0].notes, schema: '{"tier":"string","city":"string"}' })
}).then(r => r.json());

// 4. Export enriched data back to CSV
const enriched = json.data.map((row, i) => ({ ...row, ...extracted.data }));
const csv = await fetch('/api/v1/json-to-csv', {
  method: 'POST',
  headers: { 'X-API-Key': YOUR_KEY },
  body: JSON.stringify({ json: JSON.stringify(enriched) })
}).then(r => r.json());

Combine modules,
multiply the value

User registration pipeline

European B2B onboarding

UGC content moderation

Editorial automation

Technical documentation generation

Structured data pipeline

Start with 1,000 free tokens

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Combine modules,multiply the value

User registration pipeline

European B2B onboarding

UGC content moderation

Editorial automation

Technical documentation generation

Structured data pipeline

Start with 1,000 free tokens

Combine modules,
multiply the value