kagi-enrichSearch 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...
Install via ClawdBot CLI:
clawdbot install joelazar/kagi-enrichGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://help.kagi.com/kagi/api/enrich.htmlUses known external API (expected, informational)
api.github.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Researchers use the web index to find independent blogs and open-source project documentation on niche topics like quantum computing or decentralized networks, avoiding commercial SEO-driven content. This helps uncover grassroots innovations and unpublished insights not indexed in mainstream academic databases.
Business analysts use the news index to monitor non-mainstream sources like Hacker News or independent journalism for early signals on trends in sectors like sustainable tech or indie gaming. This provides alternative perspectives missed by traditional media, aiding competitive analysis.
Journalists and content creators use both indexes to discover underreported stories and diverse viewpoints from small-web sites and niche discussions, enriching their reporting with unique angles. This supports investigative work and community-focused storytelling.
Software engineers use the web index to find personal blogs and open-source project pages about specific programming languages or frameworks, such as Rust async patterns, for practical tutorials and troubleshooting tips not covered in official documentation.
Policy analysts use the news index to access discussions from alternative news outlets and community forums on topics like climate change solutions, capturing grassroots opinions and localized impacts often overlooked by mainstream reports.
Kagi charges $2 per 1,000 searches, billing only when non-zero results are returned, making it cost-effective for low-volume users. This model aligns with niche usage where queries target specific, independent content rather than high-frequency general searches.
Integrate the skill into premium research platforms or academic databases as an add-on feature, offering users access to curated non-commercial indexes. This creates recurring revenue through tiered subscriptions while enhancing the platform's value proposition.
License the enrichment API to news organizations or content aggregators, allowing them to embed independent source discovery into their editorial workflows. This generates licensing fees and potential revenue sharing based on usage volume.
💬 Integration Tip
Set the KAGI_API_KEY environment variable in your shell profile and use the pre-built binary for quick setup without Go dependencies.
Scored Apr 19, 2026
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per t...
Seven-stage deep research pipeline for substantive research questions. Activates when user asks for deep research, 深度研究, research report, evidence-backed inv...
Perform deep research using Claude by autonomously gathering, analyzing, and synthesizing detailed information across diverse topics on request.
全生命周期质量保障专家,覆盖需求、设计、编码、测试、上线、运维全阶段的质量保障活动。 融合缺陷预防(逆向操作、依赖踏空、并发冲突、新旧兼容、状态迁移、因果判定)与质量度量、持续改进三大支柱, 帮助团队建立「预防-评审-度量-改进」的质量闭环,实现软件质量的持续提升。 Use when: - 需求/设计/编码/测试...
专家团自动组建技能(反面教材)。核心观点:AI只认事不认人,没必要模拟人类多角色协作方式。本技能演示为什么不需要这样做——AI应该直接面对任务,而不是模拟人类团队。触发词:组建专家团、专家协作、团队完成任务、自动组建团队、expert team、专家团、团队协作完成任务。