/ the financial data layer for agents

Connect your AI agents to the stock market

One data layer for market data, options, macro, sentiment, predictions, and point-in-time snapshots.

80% fewer tokens / no extra data parsing / connect in 5 minutes
Try it for free Copy setup prompt View docs
AI Agent
PlusE API

Powering AI Trading Innovation

Join AI Trading Developers

From individual quant traders to institutional hedge funds, developers rely on PlusE for AI-ready market intelligence.

Powered by premium financial data sources

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Built For

What your agent can do in seconds

Company Research

Profiles, fundamentals, financials, analyst ratings, news, and historical prices in one workflow.

Company / Prices

Earnings & Options Prep

Options chains, Greeks, implied moves, earnings history, recent news, and sentiment before the print.

Options / Earnings

Portfolio & Market Pulse

ETF exposure, institutional holders, Fear & Greed, FRED macro data, headlines, and Reddit context.

Holdings / Macro

Point-in-Time Research

Ask what an agent would know about AAPL on 2022-03-01 without future leakage.

Snapshot / SEC

Developer Ready

Simple to sophisticated

AI-ready financial context vs. overwhelming raw data your LLM would struggle to process.

Traditional API

// 156KB raw JSON your agent must parse
{
  "ticker": "AAPL",
  "as_of": "2023-03-01",
  "timezone": "America/New_York",
  "prices": [... hundreds of rows ...],
  "indicators": {
    "sma": {"20":150.47,"50":143.62,"200":148.91},
    "ema": {"12":149.88,"20":150.02,"26":147.70},
    "rsi": {"14":61.84,"21":58.37},
    "macd": {"value":2.18,"signal":1.44,"hist":0.74},
    "bollinger": {"upper":157.88,"mid":150.47,"lower":143.06},
    "atr14": 3.92,
    "adx14": 23.91
  },
  "sec": {"filings": [...], "facts": {...}},
  "financials": {
    "income_statement": [{"period":"2022Q4","revenue":117154000000,
      "net_income":29998000000,"eps_diluted":1.88}],
    "balance_sheet": [{"cash":20535000000,"assets":346747000000,
      "liabilities":290020000000,"long_term_debt":99627000000}],
    "cash_flow": [{"operating_cash_flow":34005000000,
      "capex":3787000000,"free_cash_flow":30218000000}]
  },
  "options": {
    "expirations": ["2023-03-03","2023-03-10","2023-03-17"],
    "chain": [{"strike":145,"type":"call","iv":0.31,
      "delta":0.54,"gamma":0.08,"open_interest":18342}]
  },
  "macro": {
    "fred": [{"series":"FEDFUNDS","value":4.57},
             {"series":"CPIAUCSL","value":301.648}],
    "market": {"vix":20.58,"spy_rsi":48.2,"qqq_rsi":51.7}
  },
  "news": [{"source":"CNBC","published":"2023-02-27",
    "title":"Apple supplier concerns...","summary":null}],
  "reddit": {"mentions":184,"sentiment":0.12,
    "threads":[{"subreddit":"stocks","score":421,"comments":96}]},
  "metadata": {"warnings":["mixed units","late amendments",
    "timezone normalization","duplicate headlines"]}
}
Size 156KB Processing ~60s

PlusE data layer

# AAPL Point-in-Time Financial Snapshot

**As of:** 2023-03-01
**Company:** Apple Inc.

## Market Context
| Metric       | Value   |
|--------------|---------|
| Latest Close | $145.31 |
| 1M Return    | 1.65%   |
| 6M Return    | -7.19%  |
| Max Drawdown | -28.82% |

### Technical Indicators
| Indicator | Value  |
|-----------|--------|
| SMA 20    | 150.47 |
| RSI 14    | 61.84  |
| MACD      | 2.18   |

## Financials Available
Revenue, net income, EPS, cash,
debt, assets, liabilities.

## Historical News Context
Recent market headlines and company
events available before this date.
Size 6.2KB Processing < 10s
GET /snapshot?ticker=AAPL&as_of=2023-03-01

Why agents need PlusE

Four primitives. One data layer.

Use MCP or REST to give agents the financial tools they need without stitching endpoints by hand.

Market & Company Data

Company profiles, quotes, price history, analyst ratings, financial statements, and market news.

Options, Holdings & Macro

Options chains, Greeks, ETF composition, institutional holders, insider trades, FRED indicators, and CNBC-style market context.

Sentiment, Predictions & Calculators

Fear & Greed, social sentiment, price predictions, trend analysis, anomaly detection, and financial calculators.

Point-in-Time Snapshot

Recreate what the market and filings looked like on a historical date without future leakage.

/ setup

Go from zero to AI-ready data in 3 steps

No complex pipelines. No SDKs. Just a key, a config line, and a market question.

01

Get a free key

Instant signup. No credit card required.

02

Connect your agent

Use REST, MCP, Claude, Cursor, or OpenCode.

03

Ask your AI

Analyze AAPL. Compare MSFT. Rebuild a historical snapshot.

Try the Demo App

Ask a market question. Copy the workflow.

See the context your agent receives before you wire it into your app.

Try it for free Copy setup prompt

Prompt

Compare AAPL and MSFT from the perspective of an AI portfolio analyst.

Retrieves

Company data, quotes, news, sentiment, macro context, and historical comparison.

Agent output

A compact comparison with market context, not a raw endpoint dump.

curl "https://mcp.plusefin.com/api/snapshot?ticker=AAPL&as_of=2022-03-01"

Pricing

Start free. Upgrade when your agent is useful.

Free

$0

For testing endpoints, snapshots, and examples.

Start free

Builder

$9.9

For independent AI builders shipping a first workflow.

Upgrade to Builder

Pro

$39.9

For production agents and recurring financial workflows.

View pricing

After signup

Everything else stays simple.

API keys Usage tracking REST API MCP setup Examples Billing Dashboard Playground Docs

Get Started Today

Ready to build smarter trading AI?

Stop feeding your LLM overwhelming raw data. Start with an AI-ready financial data layer.

Try it for free Copy setup prompt