Data Infrastructure
for Artificial Intelligence.

Lightyear curates, distributes, and financializes enterprise-grade market data for the agentic economy. Our products distill the price of intelligence into benchmark indices which become the most important emerging asset class.

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The market data of frontier technology is becoming a new asset class.

The unit cost of intelligence has thus become one of the most consequential prices in the economy.

AI Financialization

Compute and AI inference are no longer just costs, they are now being analyzed, bought, sold and increasingly hedged. Yet the data layer underneath is still missing and opaque.

Inference Critical

Intelligence data are now direct inputs to the AI agents that make real decisions, and getting this layer right has become production-critical.

Agent Native

The legacy data model was built for a human reading a screen. Agents need a different rail: per-query answers, priced in micropayments, callable over MCP and delivered on an on-chain payment rail.

Auditable Data

Every published value recomputes from archived raw snapshots — constituents, quotes, and methodology versions stay inspectable

Benchmark Indices

Quality-adjusted, transaction-validated price indices for the intelligence market, published daily, quoted in one comparable unit and delivered in financial-grade governance

Analytic Toolings

The analytics workspace — dashboards, backtesting, custom charts, alerts — is available to users to make the most out of the curated data

API & Agent Access

One REST API for humans and AI agents alike, with MCP tools and a ready-made Claude skill for instant integration

Compute Investors & Lenders

Underwriters of GPU fleets and neocloud revenue, anchoring collateral values to observable market data.

CFO & Procurement

Teams buying inference at scale — budgeting, negotiating, and truing-up against a neutral market price.

Analysts & Researchers

Academic and market research covering the AI economy: cite a governed benchmark instead of scraping vendor price pages.

LLMs & Data Centers

Supply side of the inference market that needs a credible benchmark to evaluate and hedge product pricing.

AI Agents & Builders

Software that prices its own inputs: the same governed numbers over REST and MCP, integrated in minutes.

Funds & Trading Desks

Desks pricing — and increasingly hedging — exposure to the cost of intelligence as an emerging asset class.

At Lightyear we treat market data as quiet infrastructure — governed, auditable, and built to be settled on. The result is one comparable price for intelligence, trusted by institutions, cited in research, and consumed natively by AI agents.

Methodology Discipline

Financial-index construction end to end: quality locked at entry, volume weighting, and a versioned methodology with a public changelog.

Technical Foundation

Every published value is recomputable from archived raw snapshots, and one data core serves humans and agents through the same API.

Financial-Grade Governance

Versioned methodology, append-only history, and strict entry and exit rules — built to be cited, priced against, and settled on.

Credible Network

Strategic partnerships across model providers, compute marketplaces, and the research community — the sources the benchmark stands on.

Michael Davison

GTM Lead

Leads partnerships and index governance, keeping the benchmark neutral, credible, and aligned with the institutions that rely on it.

Dachao Zhao

Engineering Lead

Owns the data core — collection, the methodology engine, and the API that serves humans and AI agents alike.

Yixiang Zhang

Senior Engineer

Engineering across the collection pipeline, quality systems, and the product surfaces the data ships through.

Tao Tan

Senior Engineer

Engineering across the collection pipeline, quality systems, and the product surfaces the data ships through.

Building the substrate of intelligence benchmark.

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