cl0q for Web Apps

Open search engine for domain research & OSINT — 38.5M domains scanned

Rapid, privacy-first web search tailored for domain research and OSINT workflows. cl0q delivers targeted discovery across millions of domains and indexed pages without invasive telemetry, advertising, or mandatory registration, enabling efficient evidence collection and reconstructions of online infrastructure.

Security analysts, OSINT researchers, and developers commonly face noisy, opaque search results, restrictive rate limits, and vendor tracking that compromise investigations or limit automation. cl0q addresses those constraints by providing a focused search engine built expressly for investigative tasks: broad surface coverage, predictable API access, and an operational model that preserves analyst anonymity and reproducibility.

• Domain search across 38.5M scanned domains — Query a curated corpus of domain artifacts (TLDs, subdomains, DNS metadata) to rapidly enumerate assets and identify ownership or hosting patterns, reducing time spent cross-referencing disparate data sources.
• 24.8M indexed pages for OSINT research — Access full-text indexed pages relevant to investigative queries, enabling keyword correlation, content attribution, and temporal analysis of public-facing resources.
• Free API tier: 30 req/min, 1,000/day — Integrate programmatic queries into scripts, SIEMs, or enrichment pipelines with documented rate limits suitable for medium-volume automation without upfront cost.
• No tracking, no ads, no sign-ups — Operate without embedded analytics or commercial tracking; ideal for sensitive research where minimization of observable telemetry is required.

cl0q differentiates itself from mainstream, closed search providers by combining transparency of scope with operational privacy. The indexed corpus size (38.5 million scanned domains; 24.8 million indexed pages) is published to set clear expectations about coverage and to support reproducible research. The service’s privacy-first policy and absence of advertising remove behavioral noise and ethical concerns tied to third-party profiling, while the free API tier and straightforward rate limits facilitate deterministic automation in both ad hoc investigations and production toolchains.

Technically, cl0q is optimized for investigative throughput rather than consumer search diversity: query responses prioritize domain-level artifacts, crawl timestamps, and page-level hits relevant to OSINT workflows. This yields more actionable signals per query for tasks such as domain attribution, supply-chain mapping, attack surface discovery, and historical content retrieval. The API-first design simplifies integration with Python, Go, or Node tooling; responses are structured for parsing (JSON), enabling downstream enrichment, correlation, or long-term storage with minimal transformation.

cl0q is best suited for OSINT researchers, threat intelligence analysts, incident responders, and developers building reconnaissance or enrichment modules who require transparent coverage metrics, reproducible query behavior, and minimal privacy exposure. It complements existing toolsets where closed search engines are either over-broad or introduce undesired tracking.