The internet is full of marketing statistics. Blog posts cite each other in circles. Numbers get recycled without sources. Sample sizes go unmentioned. Methodology is absent. The result: marketers are building arguments on foundations they can't verify.
Lighthouse was built to fix that. Our 25-stage deterministic pipeline collects from 121K+ primary sources — government statistical APIs, peer-reviewed academic feeds, verified industry publishers — and runs every statistic through a 6-dimension grading rubric before it's ever published. Source credibility, methodology rigor, sample adequacy, recency, corroboration, and independence are all scored algorithmically. No editorial opinion. No sponsorship bias.
The outcome: every number in Lighthouse carries a full provenance chain, an evidence grade, and auto-generated hedging language that tells you exactly how much weight to give it. You don't just get a statistic — you get the confidence to use it.
Agents monitor 23K+ live feeds continuously — government statistical APIs, academic RSS, industry reports, and primary publisher feeds. Data enters the pipeline within hours of publication.
Source URL validation, value precision checks (0.1% tolerance), contradiction detection, staleness checks, and cross-source corroboration. Sub-100ms per stat. If a value doesn't pass, it doesn't proceed.
Source credibility, methodology rigor, sample adequacy, recency, corroboration, and independence — all scored deterministically. A–D grades assigned by formula. Auto-generated hedging language for C-grade claims. The rubric doesn't change based on who's asking.
Only statistics passing all quality gates are published. Every stat carries a full provenance chain, citation safety classification, and grade documentation. You always know what you're working with — and what you're not.
Every stat is graded A through D using a deterministic rubric. Zero bias. Zero agenda. The score comes from the data — not from who published it, how often it's been cited, or what story it tells.
We show exactly how every score was calculated. Confidence intervals, source credibility tiers, methodology assessments, and provenance chains are all documented and available. If we can't show our working, we don't publish the number.
Designed for the people who actually write reports, brief clients, and pitch ideas. Every interface decision, every export format, every citation helper was built with a real practitioner workflow in mind — not a demo scenario.
Each layer of Lighthouse's infrastructure took sustained, specialised engineering effort. The combination of all four creates a durable infrastructure advantage.
Multilingual ingestion pipelines normalising data across 13 languages, plus direct integrations with 27 government statistical APIs — each requiring its own schema mapping, authentication, and update cadence management.
Every stat, every version, every grade change is logged in an append-only provenance chain. 200M+ audit rows. The full lineage of every number in the platform is queryable — who produced it, when, from which source, and how it changed over time.
Proprietary taxonomy of marketing topics, channels, and metrics — enabling cross-domain correlation, benchmark comparison, and trend detection that generic search or data aggregation tools cannot replicate without years of taxonomy engineering.
Automated monitoring of Terms of Service across 1,000+ data vendors and publishers. Ingestion rules, attribution requirements, and redistribution restrictions are tracked and enforced programmatically — not managed by a spreadsheet.
Lighthouse is built by a small team of data engineers, researchers, and marketing scientists. Every design decision is oriented around one question: would a rigorous researcher trust this? If the answer isn't unambiguously yes, we keep building until it is.
4.6M+ verified statistics. Evidence grades on every number. Full provenance chains. Built for the people who write reports that matter.
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