US market data your AI agent can afford to call all day.

TickerFeed turns quotes, news, options flow, earnings pricing and SEC filings into compact JSON that an agent like Claude can read in one call, so it can answer a market question without scraping pages or burning context on raw data.

Why it exists

Agents are now doing real market research, but most data APIs were built for dashboards: wide responses, many calls per question, and pricing that punishes an agent for checking its work. TickerFeed is shaped around the questions an agent actually asks, such as "what is the implied move into earnings" or "where are the gamma walls on SPY", and returns just the fields needed to answer them.

What's inside

• Quotes and chartsStocks, indices, candles with indicators
• News and X feedHeadlines, posts, sentiment
• Options flowLarge prints, net delta, volume by strike
• Gamma exposureFlip level, call and put walls, max pain
• EarningsImplied move, ATM IV, straddle pricing
• FundamentalsStandardized annual and quarterly financials
• Insider tradesParsed SEC Form 4 with price and value
• Short volume and 13FFINRA daily short ratio, fund holdings

Built for agents

Every endpoint is documented in a plain-text llms.txt that an agent reads once to learn the whole API, and responses are kept small so a model can call them repeatedly inside a single conversation.

GET /v1/quotes?symbols=NVDA,SPY
GET /v1/gex/SPY/positioning
GET /v1/earnings/NVDA

Access