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Endpoints

@adamkristopher

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Endpoints API Toolkit

Setup

Install dependencies:

cd scripts && npm install

Configure credentials by creating a .env file in the project root:

ENDPOINTS_API_URL=https://endpoints.work
ENDPOINTS_API_KEY=ep_your_api_key_here

Prerequisites: An Endpoints account with an API key. Generate your API key from the API Keys page.

Quick Start

User saysFunction to call
"List my endpoints"listEndpoints()
"Show endpoint details for /job-tracker/january"getEndpoint('/job-tracker/january')
"Scan this document"scanFile('/path/to/file.pdf', 'job tracker')
"Scan this text"scanText('Meeting notes...', 'meeting tracker')
"Create an endpoint for receipts"createEndpoint('/receipts/2026')
"Delete the old endpoint"deleteEndpoint('/category/slug')
"Remove that item"deleteItem('abc12345')
"Get the file URL"getFileUrl('userid/path/file.pdf')
"Check my usage"getStats()

Execute functions by importing from scripts/src/index.ts:

import { listEndpoints, scanText, getStats } from './scripts/src/index.js';

const categories = await listEndpoints();
const result = await scanText('Meeting with John about Q1 goals', 'meeting tracker');
const stats = await getStats();

Or run directly with tsx:

npx tsx scripts/src/index.ts

Workflow Pattern

Every analysis follows three phases:

1. Analyze

Run API functions. Each call hits the Endpoints API and returns structured data.

2. Auto-Save

All results automatically save as JSON files to results/{category}/. File naming patterns:

  • Named results: {sanitized_name}.json
  • Auto-generated: YYYYMMDD_HHMMSS__{operation}.json

3. Summarize

After analysis, read the saved JSON files and create a markdown summary in results/summaries/ with data tables, insights, and extracted entities.

High-Level Functions

FunctionPurposeWhat it returns
listEndpoints()Get all endpoints by categoryTree structure with categories and endpoints
getEndpoint(path)Get endpoint detailsFull metadata (old + new items)
scanText(text, prompt)Scan text with AIExtracted entities and endpoint path
scanFile(filePath, prompt)Scan file with AIExtracted entities and endpoint path
getStats()Get usage statisticsParses used, limits, storage

Individual API Functions

For granular control, import specific functions. See references/api-reference.md for the complete list with parameters, types, and examples.

Endpoint Functions

FunctionPurpose
listEndpoints()List all endpoints organized by category
getEndpoint(path)Get full endpoint details with metadata
createEndpoint(path)Create a new empty endpoint
deleteEndpoint(path)Delete endpoint and all associated files

Scanning Functions

FunctionPurpose
scanText(text, prompt)Scan text content with AI extraction
scanFile(filePath, prompt)Scan file (PDF, images, docs) with AI

Item Functions

FunctionPurpose
deleteItem(itemId)Delete a single item by its 8-char ID

File Functions

FunctionPurpose
getFileUrl(key)Get presigned S3 URL for a file

Billing Functions

FunctionPurpose
getStats()Get usage stats (parses, storage, tier)

Data Structures

Living JSON Pattern

Endpoints use the Living JSON pattern for document history:

{
  endpoint: { path, category, slug },
  metadata: {
    oldMetadata: { ... },  // Historical items
    newMetadata: { ... }   // Recent items
  }
}

Metadata Item

Each item has:

  • 8-character ID - Unique identifier (e.g., abc12345)
  • summary - AI-generated description
  • entities - Extracted entities (people, companies, dates)
  • filePath - S3 URL if file was uploaded
  • fileType - MIME type
  • originalText - Source text

Error Handling

StatusMeaning
401Invalid or missing API key
404Endpoint or item not found
409Endpoint already exists
429Usage limit exceeded

Examples

List and Inspect

// Get all endpoints
const { categories } = await listEndpoints();
console.log(`Found ${categories.length} categories`);

// Inspect specific endpoint
const details = await getEndpoint('/job-tracker/january');
console.log(`Total items: ${details.totalItems}`);

Scan Documents

// Scan text content
const result = await scanText(
  'Email from John Smith at Acme Corp about the Q1 contract renewal',
  'business contacts'
);
console.log(`Created endpoint: ${result.endpoint.path}`);

// Scan a PDF file
const fileResult = await scanFile('./invoice.pdf', 'invoice tracker');
console.log(`Extracted ${fileResult.entriesAdded} items`);

Check Usage

const stats = await getStats();
console.log(`Parses: ${stats.parsesUsed}/${stats.parsesLimit}`);
console.log(`Storage: ${stats.storageUsed} bytes`);

Source

git clone https://clawhub.ai/adamkristopher/endpointsView on GitHub

Overview

Endpoints is a document management API toolkit that uses AI extraction to scan documents and organize data into categorized endpoints. It supports scanning, uploading, listing endpoints, inspecting endpoint data, checking usage stats, and managing metadata. Access requires an ENDPOINTS_API_KEY from the endpoints.work dashboard.

How This Skill Works

Configure credentials by setting ENDPOINTS_API_URL and ENDPOINTS_API_KEY in your environment. Use the high-level functions (listEndpoints, getEndpoint, scanText, scanFile, createEndpoint, deleteEndpoint) to interact with the API and obtain structured results. The workflow follows Analyze (API calls), Auto-Save (JSON results to results/{category}), and Summarize (markdown summaries).

When to Use It

  • Scan a document to extract entities and attach them to an endpoint
  • Upload a file and create a new endpoint for it
  • List all endpoints organized by category
  • Inspect full metadata for a specific endpoint
  • Check usage stats and retrieve a presigned file URL

Quick Start

  1. Step 1: Install dependencies and set ENDPOINTS_API_URL and ENDPOINTS_API_KEY in a .env file
  2. Step 2: Import functions (listEndpoints, scanText, getStats) and call them with your data
  3. Step 3: Run npx tsx scripts/src/index.ts or run the bundled script to execute

Best Practices

  • Keep ENDPOINTS_API_KEY secret and rotate it regularly from endpoints.work
  • Use clear, consistent endpoint paths when creating endpoints
  • Validate file types (PDFs, images) before scanFile and sanitize names
  • Monitor usage with getStats and set quotas to avoid limits
  • Leverage auto-save to results/{category} and generate summaries for stakeholders

Example Use Cases

  • Scan a contract and auto-tag entities, then review in /contracts/vendorA
  • Create a receipts endpoint and scan multiple receipt PDFs for auto-categorization
  • List endpoints and pull details for /job-tracker/january to audit metadata
  • Get a presigned URL for a scanned document to share with a client
  • Run getStats regularly to monitor API usage and storage quotas

Frequently Asked Questions

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