Developer Documentation & API

Build with Snowline Avalanche APIs & MCP.

OpenAPI 3.1 specifications, structured Markdown content negotiation, and Model Context Protocol servers for autonomous AI agents querying Avalanche intelligence.

OpenAPI 3.1.0

Vercel Edge Ready

RFC 9457 Errors

Quickstart

Quickstart Code Examples

Query verified Avalanche corporate intelligence with cURL, TypeScript, or Python.

curl -s -H "Accept: application/json" \
  https://snowlineapp.xyz/api/businesses/avalanche

REST API

REST Endpoints Reference

Every endpoint supports Accept: application/json and Accept: text/markdown.

GET/api/businesses

Test

List all tracked companies with valuation and category filters.

Test

GET/api/businesses/:slug

Test

Full company profile with metrics, milestones, and leadership (e.g. avalanche).

Test

GET/api/updates

Test

Chronological feed of verified milestones and announcements.

Test

GET/api/search?q=:query

Test

Full-text search across companies, categories, and news.

Test

GET/api/reports

Test

Market research briefs and sector breakdown reports.

Test

GET/api/health

Test

Service health check and latency monitoring.

Test

POST/api/mcp

Test

Streamable HTTP MCP server endpoint for AI agent tool invocation.

Test

Agent Integration

Model Context Protocol (MCP) Config

Add to your claude_desktop_config.json or Cursor settings.

Open MCP Hub

claude_desktop_config.json

{
  "mcpServers": {
    "snowline": {
      "url": "https://snowlineapp.xyz/api/mcp",
      "type": "streamable-http"
    }
  }
}

Resources & Schemas

Developer Specifications & Specs

Direct access to schemas, manifests, and agent guidance files.

OpenAPI 3.1.0

Machine-readable JSON schema defining all endpoints and request models.

/api/openapi.json

llms.txt Index

Standardized plain-text index curated specifically for autonomous AI agents.

/llms.txt

MCP Manifest

Official discovery manifest declaring streamable capabilities and tools.

/.well-known/mcp.json

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