endpoints

CLI Utilities
v1.0.0
Benign

Endpoints document management API toolkit.

11.7K downloads1.7K installsby @adamkristopher

Setup & Installation

Install command

clawhub install adamkristopher/endpoints

If the CLI is not installed:

Install command

npx clawhub@latest install adamkristopher/endpoints

Or install with OpenClaw CLI:

Install command

openclaw skills install adamkristopher/endpoints

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/adamkristopher/endpoints

What This Skill Does

A toolkit for scanning documents and text with AI to extract structured entities, then storing results in categorized endpoints on endpoints.work. Results auto-save as JSON files, with optional markdown summaries generated after each run.

Combines AI document extraction and structured storage in a single API call, removing the need to wire together separate OCR, LLM, and database services.

When to Use It

  • Extracting contact details from business emails
  • Parsing invoice PDFs into structured line-item records
  • Organizing meeting notes by topic and date
  • Tracking job applications across multiple uploaded documents
  • Auditing monthly parse and storage usage
View original SKILL.md file
# Endpoints API Toolkit

## Setup

Install dependencies:

```bash
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](https://endpoints.work/api-keys).

## Quick Start

| User says | Function 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`:

```typescript
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:

```bash
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

| Function | Purpose | What it returns |
|----------|---------|----------------|
| `listEndpoints()` | Get all endpoints by category | Tree structure with categories and endpoints |
| `getEndpoint(path)` | Get endpoint details | Full metadata (old + new items) |
| `scanText(text, prompt)` | Scan text with AI | Extracted entities and endpoint path |
| `scanFile(filePath, prompt)` | Scan file with AI | Extracted entities and endpoint path |
| `getStats()` | Get usage statistics | Parses used, limits, storage |

## Individual API Functions

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

### Endpoint Functions

| Function | Purpose |
|----------|---------|
| `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

| Function | Purpose |
|----------|---------|
| `scanText(text, prompt)` | Scan text content with AI extraction |
| `scanFile(filePath, prompt)` | Scan file (PDF, images, docs) with AI |

### Item Functions

| Function | Purpose |
|----------|---------|
| `deleteItem(itemId)` | Delete a single item by its 8-char ID |

### File Functions

| Function | Purpose |
|----------|---------|
| `getFileUrl(key)` | Get presigned S3 URL for a file |

### Billing Functions

| Function | Purpose |
|----------|---------|
| `getStats()` | Get usage stats (parses, storage, tier) |

## Data Structures

### Living JSON Pattern

Endpoints use the Living JSON pattern for document history:

```typescript
{
  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

| Status | Meaning |
|--------|---------|
| 401 | Invalid or missing API key |
| 404 | Endpoint or item not found |
| 409 | Endpoint already exists |
| 429 | Usage limit exceeded |

## Examples

### List and Inspect

```typescript
// 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

```typescript
// 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

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

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Extracting contact details from business emails

AGENT
  1. 1Extracting contact details from business emails
  2. 2Parsing invoice PDFs into structured line-item records
  3. 3Organizing meeting notes by topic and date
  4. 4Tracking job applications across multiple uploaded documents
  5. 5Auditing monthly parse and storage usage
OUTPUT
Endpoints document management API toolkit.

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Details

LanguageMarkdown
Last updatedFeb 27, 2026