Lexfi

Turn ChatGPT into a High-Performance Market Analyst

Connect prices, filings, and macroeconomic context directly to the AI you already use

Connect once, keep using ChatGPT or Claude normally

Start in three simple steps

Keep chatting in ChatGPT; the connector supplies financial data, market context and analytical tools underneath

No coding. No API key required.

No coding. No API key required.

Better research, not just better wording

Keep using ChatGPT or Claude. We put prices, weights, and macro context under the answer

Without Lexfi

Claude sounds sure. The book is invisible.

Without portfolio weights or live market inputs, the model fills the gaps with fluency. It can sound decisive while missing concentration, rates, and what you already own. That confidence is not evidence.

  • General market commentary with no book attached
  • No live prices, yields, or sector mix in the answer
  • Dispersed web research instead of structured inputs
  • Difficult to compare holdings, sectors, or datasets
  • High confidence that cannot be checked against the market
  • EvidenceNot retrieved
  • Portfolio contextNot in the prompt
  • GroundingFluent, ungrounded
Claude
How concentrated is this book in mega-cap tech, and how has NVDA moved versus real yields?

Answer

88% confident

Exposure looks fine

NVIDIA has momentum and AI demand looks durable. The mix is probably balanced enough.

Sector mix

Outlook (unverified)

Model prior: no market series

Portfolio weights

Mega-cap tech—
NVDA alone—
Defensive / cash—

No live data · No portfolio weights · No rate context

Illustrative book

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No coding, no API key required

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