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The Canvas SDK provides a clean, typed interface for building data enrichment workflows. Instead of managing multiple providers and APIs, you write simple code that just works. Our SDK supports:
  • B2B company discovery: Find companies by industry, size, tech stack
  • Local business search: Restaurants, stores, services via Google Maps
  • People search: Decision makers by title, department, seniority
  • Contact enrichment: Verified emails and phone numbers via waterfall across top data sources
  • LinkedIn & Instagram: Scrape profiles, posts, and engagement data
  • AI research: Summarize, analyze, and generate with multiple models
All powered by best-in-class data providers (Apollo, People Data Labs, Google Maps, Perplexity, and more) unified behind one typed API.

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Design Philosophy

Task-Oriented

Methods organized by what you want to accomplish: find people, enrich contacts, research companies.

Single Params Object

Every method takes one typed params object. No positional arguments to remember.

Smart Defaults

SDK picks the best provider automatically. Override with _provider when needed.

Type Safety

Full TypeScript support with autocomplete and compile-time error checking.

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Explore the SDK

People & Contacts

Find decision makers at companies, then get their verified emails and phone numbers.
const people = await canvas.people.search({
  companies,
  titles: ["CTO", "VP Engineering"],
});

const contacts = await canvas.contacts.enrich({ people });

Companies

Discover B2B companies by industry, size, and tech stack.
const companies = await canvas.companies.find({
  industries: ["Fintech"],
  employeeCountMin: 50,
  employeeCountMax: 500,
});

Places

Find local businesses via Google Maps — restaurants, retail stores, service providers.
const restaurants = await canvas.places.find({
  query: "Italian restaurants",
  location: "Austin, TX",
  minRating: 4.0,
});

Social

Scrape LinkedIn profiles, get recent posts, find engaged prospects from reactions.
const profiles = await canvas.linkedin.profiles({
  urls: ["linkedin.com/in/johndoe"],
});

const posts = await canvas.linkedin.posts({
  urls: ["linkedin.com/in/johndoe"],
  maxPosts: 10,
});

Enrichment

Enrich records with AI-generated summaries, categorization, and research.
const summary = await canvas.ai.research({
  prompt: "Summarize this company in one sentence",
  data: company,
});

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Data Flow

Every code block receives input (data from the previous step) and must return an array (data for the next step). 
// input: Array of companies from previous step
// Add AI-generated summaries to each company
for (const company of input) {
  company.summary = await canvas.ai.research({
    prompt: "Summarize this company in one sentence",
    data: company,
  });
}

return input; // Pass enriched data to next step

Learn more about Context

Understand input, output, and how data flows through workflows.

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Utilities

MethodDescription
canvas.log(...args)Log output (captured in execution results)
canvas.delay(ms)Wait for specified milliseconds (max 10 seconds)