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
INLINECODE0	Teclis	Independent websites, personal blogs, open-source projects, non-commercial content
INLINECODE1

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
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"

6. 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

CODEBLOCK1

Options

Flag	Description
INLINECODE5	Max results to display (default: all returned)
INLINECODE6

Emit JSON output | | --timeout <sec> | HTTP timeout in seconds (default: 15) |

Output

Default (text)

CODEBLOCK2

JSON (`--json`)

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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)

CODEBLOCK4

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

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

CODEBLOCK5

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.

Kagi 增强搜索

使用 Kagi 增强搜索 API 搜索 Kagi 专有的增强索引。这些是 Kagi 的秘方——精心策划的非商业和独立内容索引，补充主流搜索结果。

提供两个索引：

索引	后端	最佳用途
web	Teclis	独立网站、个人博客、开源项目、非商业内容
news

TinyGem | 非主流新闻来源、有趣讨论、冷门新闻报道 |

此技能使用 Go 二进制文件实现快速启动和零运行时依赖。该二进制文件可以预构建下载或从源代码编译。

设置

需要启用 API 访问的 Kagi 账户。使用与所有其他 kagi-* 技能相同的 KAGIAPIKEY。

1. 在 https://kagi.com/signup 创建账户
导航至设置 → 高级 → API 门户：https://kagi.com/settings/api
生成 API 令牌
在 https://kagi.com/settings/billing_api 充值
添加到您的 shell 配置文件（~/.profile 或 ~/.zprofile）：

bash export KAGIAPIKEY=your-api-key-here

6. 安装二进制文件——参见下面的安装部分

定价

每 1,000 次搜索 2 美元（每次查询 0.002 美元）。仅在返回非零结果时计费。

用法

bash

搜索独立网络（Teclis 索引）——默认

{baseDir}/kagi-enrich.sh web rust async programming
{baseDir}/kagi-enrich.sh rust async programming # web 是默认索引

搜索非主流新闻（TinyGem 索引）

{baseDir}/kagi-enrich.sh news open source AI

限制结果数量

{baseDir}/kagi-enrich.sh web sqlite internals -n 5

JSON 输出

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

自定义超时

{baseDir}/kagi-enrich.sh web query --timeout 30

选项

标志	描述
-n <num>	最大显示结果数（默认：全部返回）
--json

输出 JSON 格式 | | --timeout | HTTP 超时秒数（默认：15） |

输出

默认（文本）

--- 结果 1 ---
标题: SQLite Internals: How The Worlds Most Used Database Works
URL: https://www.compileralchemy.com/books/sqlite-internals/
日期: 2023-04-01T00:00:00Z
深入探讨 SQLite 的 B-tree 存储引擎、WAL 日志...

--- 结果 2 ---
...

[API 余额：$9.9980 | 结果数：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 Worlds Most Used Database Works,
url: https://www.compileralchemy.com/books/sqlite-internals/,
snippet: 深入探讨 SQLite 的 B-tree...,
published: 2023-04-01T00:00:00Z
}
]
}

何时使用

- 使用 web 当您想要某个主题的独立、非商业视角——个人博客、独立项目、学术页面、小众社区——这些结果在主流搜索中被 SEO 优化的商业网站淹没
使用 news 当您想要主流媒体周期之外的新闻和讨论——小众媒体、Hacker News 讨论、Reddit 讨论、独立记者
与 kagi-search 结合使用以获得最完整的图景：kagi-search 用于高质量的一般结果，kagi-enrich web 用于独立声音，kagi-enrich news 用于替代新闻视角
使用 kagi-fastgpt 当您需要综合答案而不是来源列表时

关于结果数量的说明

增强索引特意针对小众内容——它们可能返回比一般搜索更少的结果。查询没有结果意味着在该索引中未找到相关内容（并且不会向您收费）。

安装

选项 A — 下载预构建二进制文件（无需 Go）

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

验证校验和（推荐）

curl -fsSL https://github.com/joelazar/kagi-skills/releases/download/${TAG}/checksums.txt | \ grep ${BINARY} | sha256sum --check

预构建二进制文件适用于 Linux 和 macOS（amd64 + arm64）以及 Windows（amd64）。

选项 B — 从源代码构建（需要 Go 1.26+）

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

或者，直接运行 {baseDir}/kagi-enrich.sh——如果 Go 可用，包装器会在首次运行时自动构建。

该二进制文件没有外部依赖——仅使用 Go 标准库。

kagi-enrichKagi增强搜索

kagi-enrich

Kagi Enrichment

Setup

Pricing