---
name: kagi-enrich-2b54a25e995a
description: Search Kagi's unique non-commercial web (Teclis) and non-mainstream news (TinyGem) indexes for independent, ad-free content you won't find in regular search results. Use when you want to discover small-web sites, independent blogs, niche discussions, or non-mainstream news on a topic.
---

# Kagi Enrichment

Search Kagi's proprietary enrichment indexes using the [Kagi Enrichment API](https://help.kagi.com/kagi/api/enrich.html). These are Kagi's "secret sauce" — curated indexes of non-commercial and independent content that complement mainstream search results.

Two indexes are available:

| Index | Backend | Best for |
|-------|---------|----------|
| `web` | **Teclis** | Independent websites, personal blogs, open-source projects, non-commercial content |
| `news` | **TinyGem** | Non-mainstream news sources, interesting discussions, off-the-beaten-path journalism |

This skill uses a Go binary for fast startup and zero runtime dependencies. The binary can be downloaded pre-built or compiled from source.

## Setup

Requires a Kagi account with API access enabled. Uses the same `KAGI_API_KEY` as all other kagi-* skills.

1. Create an account at https://kagi.com/signup
2. Navigate to Settings → Advanced → API portal: https://kagi.com/settings/api
3. Generate an API Token
4. Add funds at: https://kagi.com/settings/billing_api
5. Add to your shell profile (`~/.profile` or `~/.zprofile`):
   ```bash
   export KAGI_API_KEY="your-api-key-here"
   ```
6. Install the binary — see [Installation](#installation) below

## Pricing

**$2 per 1,000 searches** ($0.002 per query). Billed only when non-zero results are returned.

## Usage

```bash
# Search the independent web (Teclis index) — default
{baseDir}/kagi-enrich.sh web "rust async programming"
{baseDir}/kagi-enrich.sh "rust async programming"        # web is the default

# Search non-mainstream news (TinyGem index)
{baseDir}/kagi-enrich.sh news "open source AI"

# Limit number of results
{baseDir}/kagi-enrich.sh web "sqlite internals" -n 5

# JSON output
{baseDir}/kagi-enrich.sh web "zig programming language" --json
{baseDir}/kagi-enrich.sh news "climate change solutions" --json

# Custom timeout
{baseDir}/kagi-enrich.sh web "query" --timeout 30
```

### Options

| Flag | Description |
|------|-------------|
| `-n <num>` | Max results to display (default: all returned) |
| `--json` | Emit JSON output |
| `--timeout <sec>` | HTTP timeout in seconds (default: 15) |

## Output

### Default (text)

```
--- Result 1 ---
Title: SQLite Internals: How The World's Most Used Database Works
URL:   https://www.compileralchemy.com/books/sqlite-internals/
Date:  2023-04-01T00:00:00Z
       A deep-dive into how SQLite's B-tree storage engine, WAL journal...

--- Result 2 ---
...

[API Balance: $9.9980 | results: 15]
```

### JSON (`--json`)

```json
{
  "query": "sqlite internals",
  "index": "web",
  "meta": {
    "id": "abc123",
    "node": "us-east4",
    "ms": 386,
    "api_balance": 9.998
  },
  "results": [
    {
      "rank": 1,
      "title": "SQLite Internals: How The World's Most Used Database Works",
      "url": "https://www.compileralchemy.com/books/sqlite-internals/",
      "snippet": "A deep-dive into SQLite's B-tree...",
      "published": "2023-04-01T00:00:00Z"
    }
  ]
}
```

## When to Use

- **Use `web`** when you want independent, non-commercial perspectives on a topic — personal blogs, indie projects, academic pages, niche communities — results that mainstream search drowns out with SEO-optimized commercial sites
- **Use `news`** when you want news and discussions from sources outside the mainstream media cycle — niche outlets, Hacker News threads, Reddit discussions, independent journalists
- **Combine with `kagi-search`** for the most complete picture: `kagi-search` for high-quality general results, `kagi-enrich web` for independent voices, `kagi-enrich news` for alternative news angles
- **Use `kagi-fastgpt`** instead when you need a synthesized answer rather than a list of sources

### Note on result counts

The enrichment indexes are intentionally niche — they may return fewer results than general search. No results for a query means no relevant content was found in that index (and you won't be billed).

## Installation

### Option A — Download pre-built binary (no Go required)

```bash
OS=$(uname -s | tr '[:upper:]' '[:lower:]')
ARCH=$(uname -m)
case "$ARCH" in
  x86_64)        ARCH="amd64" ;;
  aarch64|arm64) ARCH="arm64" ;;
esac

TAG=$(curl -fsSL "https://api.github.com/repos/joelazar/kagi-skills/releases/latest" | grep '"tag_name"' | cut -d'"' -f4)
BINARY="kagi-enrich_${TAG}_${OS}_${ARCH}"

mkdir -p {baseDir}/.bin
curl -fsSL "https://github.com/joelazar/kagi-skills/releases/download/${TAG}/${BINARY}" \
  -o {baseDir}/.bin/kagi-enrich
chmod +x {baseDir}/.bin/kagi-enrich

# Verify checksum (recommended)
curl -fsSL "https://github.com/joelazar/kagi-skills/releases/download/${TAG}/checksums.txt" | \
  grep "${BINARY}" | sha256sum --check
```

Pre-built binaries are available for Linux and macOS (amd64 + arm64) and Windows (amd64).

### Option B — Build from source (requires Go 1.26+)

```bash
cd {baseDir} && go build -o .bin/kagi-enrich .
```

Alternatively, just run `{baseDir}/kagi-enrich.sh` directly — the wrapper auto-builds on first run if Go is available.

The binary has no external dependencies — only the Go standard library.


---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/kagi-enrich/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/kagi-enrich/SKILL.md
Attribution basis: Source repository record

Fields of work: Education & Research, Marketing
Roles: Content Marketer, Marketing Analyst, Researcher
Specialties: API
Tools: Kagi
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 64f3511e2d31780159dbf092b354b75f73ee217484e9aed43fb9e0f2a4ad06ae