endpoints

Endpoints document management API toolkit. Scan documents with AI extraction and organize structured data into categorized endpoints. Use when the user asks to: scan a document, upload a file, list endpoints, inspect endpoint data, check usage stats, create or delete endpoints, get file URLs, or manage document metadata. Requires ENDPOINTS_API_KEY from endpoints.work dashboard.

3,891 stars

Best use case

endpoints is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Endpoints document management API toolkit. Scan documents with AI extraction and organize structured data into categorized endpoints. Use when the user asks to: scan a document, upload a file, list endpoints, inspect endpoint data, check usage stats, create or delete endpoints, get file URLs, or manage document metadata. Requires ENDPOINTS_API_KEY from endpoints.work dashboard.

Teams using endpoints should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/endpoints/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/adamkristopher/endpoints/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/endpoints/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How endpoints Compares

Feature / AgentendpointsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Endpoints document management API toolkit. Scan documents with AI extraction and organize structured data into categorized endpoints. Use when the user asks to: scan a document, upload a file, list endpoints, inspect endpoint data, check usage stats, create or delete endpoints, get file URLs, or manage document metadata. Requires ENDPOINTS_API_KEY from endpoints.work dashboard.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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`);
```

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