Custom Domain Filtering And Result Reranking Via Goggles

Independent search API — web, news, images, summarizer, privacy-respecting, free tier.

Unique: Brave's Goggles feature allows application-level result filtering and reranking without modifying the search query itself, enabling dynamic source prioritization and content moderation rules that can be updated independently of application code. This is distinct from query-level filtering (site: operators) because it operates on the result set after ranking, allowing more sophisticated control.

vs others: More flexible than Google Custom Search's domain whitelisting because it supports reranking and prioritization, not just inclusion/exclusion, and can be modified per-request rather than being baked into a static search engine configuration.

via “domain-filtering-and-source-restriction”

Neural search API — meaning-based search, full content retrieval, similarity search for AI agents.

Unique: Server-side domain filtering eliminates irrelevant results before returning to client, reducing token usage and improving result quality. Supports both include and exclude lists for flexible source control.

vs others: More efficient than client-side filtering because irrelevant results are eliminated server-side; reduces bandwidth and token usage compared to filtering results locally.

via “lens-based result filtering and ranking customization”

Premium ad-free search engine with AI summarization.

Unique: Implements query-time filtering and reranking via user-defined lenses rather than static result filtering; supports both built-in lenses (Academic, News, Small Web) and custom user-created lenses, enabling domain-specific search without index modification

vs others: More flexible than Google's search operators (which are limited and undocumented); persistent across devices (stored server-side) vs browser-local filters; enables complex multi-criteria filtering vs single-criterion site: operator

via “ad-free web search with custom result ranking”

Premium ad-free search — AI summarization, custom ranking, privacy-respecting, FastGPT.

Unique: Combines proprietary search index with user-controlled domain ranking/blocking system, allowing per-user result customization without relying on algorithmic black boxes. Unlike Google's opaque ranking, Kagi makes domain preference explicit and user-configurable, with anti-tracking implementation that blocks tracker signals at the protocol level.

vs others: Eliminates ads and tracking entirely (vs. Google/Bing's ad-supported model) while offering granular domain control that DuckDuckGo and Brave Search don't expose as directly to users.

via “domain-specific search filtering with website restrictions”

Vane is an AI-powered answering engine.

Unique: Implements domain filtering at the SearXNG query level rather than post-processing results, reducing irrelevant results before LLM synthesis and improving answer quality

vs others: More transparent than implicit source ranking because users explicitly control which domains are searched; more flexible than hardcoded source lists because filters are user-configurable

via “domain filtering and source validation with customizable rules”

An autonomous agent that conducts deep research on any data using any LLM providers

Unique: Implements domain filtering with whitelist/blacklist modes, built-in domain categories, and per-query customization with credibility scoring

vs others: More flexible than fixed domain lists because it supports custom rules; more transparent than hidden filtering because it provides filtering metadata

via “topic-and-domain-filtered-search”

Use this MCP server to search barnsworthburning.net, a digital commonplace book built and curated by Nick Trombley. The site contains a wealth of bookmarks and short snippets on a broad range of topics: design, software, art, architecture, craft, writing, literature, and many more.

Unique: Leverages the curator's editorial domain taxonomy to enable structured filtering, rather than relying on generic keyword matching or learned embeddings. This ensures that domain boundaries reflect human judgment about knowledge organization.

vs others: More precise than keyword-based filtering because it respects the curator's intentional categorization, avoiding false positives from polysemous terms (e.g., 'design' in software vs. graphic design contexts).

via “custom search filters and result refinement”

A search engine built on AI that provides users with a customized search experience while keeping their data 100% private.

via “domain and content-type filtering with whitelist/blacklist”

Language model powered search.

Unique: Applies domain and content-type filtering server-side during ranking, reducing irrelevant results before returning to client. Enables focused searches without post-processing filtering.

vs others: More efficient than client-side filtering (reduces data transfer and processing); server-side filtering ensures ranking is aware of constraints, improving result quality vs. post-hoc filtering.

via “query-aware search result filtering and ranking”

[Promptform: Run GPT in bulk](https://github.com/jasonstitt/promptform)

Unique: Implements query-aware result filtering using semantic relevance scoring rather than simple keyword matching, ensuring only contextually relevant search results augment the LLM prompt

vs others: More sophisticated than naive result concatenation, but lighter-weight than full re-ranking systems like Cohere Rerank that require additional API calls