orangeslice

B2B LinkedIn database prospector. 1.15B profiles, 85M companies.

``bash
npx orangeslice
`

This installs documentation your AI agent needs to master the database. Point your agent (Claude Code, Cursor, etc.) to ./AGENTS.md and it becomes a B2B prospecting expert.

What It Does

Your AI agent gets:
- Full database schema (40+ tables)
- Query patterns and examples
- Anti-patterns to avoid
- Performance rules
- Parallelization patterns — agents must run queries in parallel, never sequentially
- AI structured output — extract structured data from text with orangeslice.ai.generateObject()

🚨 CRITICAL: Always Parallelize

The #1 rule: NEVER run queries sequentially. ALWAYS use Promise.all().

The API handles rate limiting automatically. Fire all queries at once.

`typescript
// ❌ WRONG - Sequential (SLOW)
const company = await orangeslice.b2b.sql("...");
const funding = await orangeslice.b2b.sql("...");
const jobs = await orangeslice.b2b.sql("...");

// ✅ CORRECT - Parallel (FAST)
const [company, funding, jobs] = await Promise.all([
orangeslice.b2b.sql("..."),
orangeslice.b2b.sql("..."),
orangeslice.b2b.sql("..."),
]);
`

Quick Example

`typescript
import { orangeslice } from 'orangeslice';

// Research a company - ALL queries in parallel
const [company, funding, recentJobs, leadership] = await Promise.all([
orangeslice.b2b.sql(SELECT * FROM linkedin_company WHERE domain = 'stripe.com'),
orangeslice.b2b.sql(SELECT * FROM linkedin_crunchbase_funding WHERE linkedin_company_id = 123),
orangeslice.b2b.sql(SELECT * FROM linkedin_job WHERE linkedin_company_id = 123 LIMIT 10),
orangeslice.b2b.sql(
SELECT p.first_name, p.last_name, pos.title
FROM linkedin_profile p
JOIN linkedin_profile_position3 pos ON pos.linkedin_profile_id = p.id
WHERE pos.linkedin_company_id = 123 AND pos.end_date IS NULL
LIMIT 10
),
]);

// Research multiple companies - ALL in parallel
const domains = ['stripe.com', 'openai.com', 'anthropic.com'];
const companies = await Promise.all(
domains.map(d => orangeslice.b2b.sql(SELECT * FROM linkedin_company WHERE domain = '${d}'))
);
`

Documentation

After running npx orangeslice, you get:

`
orangeslice-docs/
├── AGENTS.md # Agent instructions (includes parallelization rules)
└── linkedin_data/
├── QUICK_REF.md # START HERE - Critical rules & patterns
├── tables/ # Full schema (denormalized + normalized)
└── search_examples/ # Query patterns for people & companies
`

Read linkedin_data/QUICK_REF.md before writing any queries.

Installation

`bash
npm install orangeslice
`

API

$3

Execute SQL and return rows. Always wrap multiple calls in Promise.all().

`typescript
// Single query
const companies = await orangeslice.b2b.sql(
"SELECT * FROM linkedin_company WHERE employee_count > 1000 LIMIT 10"
);

// Multiple queries - ALWAYS parallel
const [techCos, healthCos, financeCos] = await Promise.all([
orangeslice.b2b.sql("SELECT * FROM linkedin_company WHERE industry_code = 4 LIMIT 10"),
orangeslice.b2b.sql("SELECT * FROM linkedin_company WHERE industry_code = 14 LIMIT 10"),
orangeslice.b2b.sql("SELECT * FROM linkedin_company WHERE industry_code = 43 LIMIT 10"),
]);
`

$3

Execute SQL and return full result with metadata.

`typescript
const result = await orangeslice.b2b.query("SELECT * FROM linkedin_company LIMIT 10");
// result.rows, result.rowCount, result.duration_ms
`

$3

Configure rate limiting. Default settings handle parallelization automatically.

`typescript
orangeslice.b2b.configure({
concurrency: 3, // default: 2 concurrent requests
minDelayMs: 200, // default: 100ms between requests
});
`

$3

Generate structured data from text using AI.

`typescript
const result = await orangeslice.ai.generateObject({
prompt: "Extract company info: Stripe was founded in 2010 by Patrick Collison",
schema: {
type: "object",
properties: {
company: { type: "string" },
year: { type: "number" },
founder: { type: "string" }
},
required: ["company", "year"]
}
});
// { company: "Stripe", year: 2010, founder: "Patrick Collison" }
`

$3

Convenience method to extract structured data from text.

`typescript
const data = await orangeslice.ai.extract(
"Apple Inc was founded in 1976 by Steve Jobs in Cupertino",
{ type: "object", properties: { company: { type: "string" }, year: { type: "number" } } },
"Extract the company name and founding year"
);
``

Restrictions

- No direct contact data (email/phone)
- No Indeed job board data
- No traffic/analytics data