Kagi Enrichment
Search Kagi's proprietary enrichment indexes using the Kagi Enrichment API. 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.
- Create an account at https://kagi.com/signup
- Navigate to Settings → Advanced → API portal: https://kagi.com/settings/api
- Generate an API Token
- Add funds at: https://kagi.com/settings/billing_api
- Add to your shell profile (
~/.profile or ~/.zprofile):
export KAGI_API_KEY="your-api-key-here"
- Install the binary — see Installation below
Pricing
$2 per 1,000 searches ($0.002 per query). Billed only when non-zero results are returned.
Usage
# 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: $9.9980 | results: 15]
JSON (--json)
{
"query": "sqlite internals",
"index": "web",
"meta": {
"id": "abc123",
"node": "us-east4",
"ms": 386,
"api_balance": 9.998
},
"results": [
{
"rank": 1,
"title": "SQLite Internals: How The World's Most Used Database Works",
"url": "https://www.compileralchemy.com/books/sqlite-internals/",
"snippet": "A deep-dive into SQLite's B-tree...",
"published": "2023-04-01T00:00:00Z"
}
]
}
When to Use
- Use
web when you want independent, non-commercial perspectives on a topic — personal blogs, indie projects, academic pages, niche communities — results that mainstream search drowns out with SEO-optimized commercial sites
- Use
news when you want news and discussions from sources outside the mainstream media cycle — niche outlets, Hacker News threads, Reddit discussions, independent journalists
- Combine with
kagi-search for the most complete picture: kagi-search for high-quality general results, kagi-enrich web for independent voices, kagi-enrich news for alternative news angles
- Use
kagi-fastgpt instead when you need a synthesized answer rather than a list of sources
Note on result counts
The enrichment indexes are intentionally niche — they may return fewer results than general search. No results for a query means no relevant content was found in that index (and you won't be billed).
Installation
Option A — Download pre-built binary (no Go required)
OS=$(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+)
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.
