Deep Values API

1. AI equity research, structured as JSON

One endpoint. Full briefing. Bull case, bear case, valuation snapshot, investment plan, fair-value range. The same multi-analyst pipeline that powers our consumer product, exposed as a single JSON call.

GET /v1/research/AAPL

{
  "ticker": "AAPL",
  "company_name": "Apple Inc.",
  "stance": "watch",
  "as_of": "2026-05-17T14:23:00Z",
  "briefing": "Services growth accelerating to 16% YoY; iPhone units flat...",
  "bull_summary": "Services moat widening, $200B buyback runway, India ramp...",
  "bear_summary": "Hardware refresh cycle lengthening, China exposure 19%...",
  "fundamentals_report": "Revenue $391B (+2.0% YoY)...",
  "valuation": {
    "intrinsic_value_per_share": 218.4,
    "method": "dcf_owner_earnings_blend",
    "confidence_p10": 178.2,
    "confidence_p90": 261.7,
    "current_price": 184.92,
    "implied_upside_pct": 18.1
  },
  "investment_plan": "Conservative entry below $175; full position $158-165...",
  "key_risks": ["China revenue concentration", "Hardware ASP normalization", "..."]
}

Sentieo and AlphaSense cost $30,000/year. We're $99/month for the same output shape on US equities. Yes really.

2. The Smart Money API

50+ legendary investors. Real 13F filings. Auto-classified position deltas. Materiality-filtered notifications. The data nobody else packages this way at any price.

GET  /v1/smart-money/holdings?ticker=BRK.B
GET  /v1/smart-money/changes?since=2026-Q1&min_position_usd=100000000
GET  /v1/gurus/warren-buffett/portfolio
POST /v1/webhooks/guru-moves  (subscribe to threshold breaches)

{
  "ticker": "AAPL",
  "quarter_end": "2026-03-31",
  "holders": [
    {
      "guru": { "slug": "warren-buffett", "fund": "Berkshire Hathaway" },
      "shares": 905560000,
      "position_usd": 167400000000,
      "pct_portfolio": 31.4,
      "delta": { "status": "trimmed", "delta_shares": -10000000, "delta_pct": -1.1 }
    },
    {
      "guru": { "slug": "duan-yongping", "fund": "H&H International Investment" },
      "shares": 17500000,
      "position_usd": 3236000000,
      "pct_portfolio": 18.5,
      "delta": { "status": "added", "delta_shares": 500000, "delta_pct": 2.9 }
    }
  ],
  "summary": {
    "guru_count": 12,
    "total_value_usd": 184000000000,
    "qoq_delta_pct": -0.8
  }
}

What's curated. Not raw 13F dumps — a hand-picked 50+ roster: Buffett, Munger, Burry, Ackman, Druckenmiller, Klarman, Marks, Li Lu, Duan Yongping, Pabrai, Einhorn, Mandel, Loeb, Tepper, Coleman, Soros, Cohen (Point72), Peltz, Greenblatt, Hawkins (Longleaf), Yacktman, Tweedy Browne, Wedgewood, Sequoia Fund, and 25+ more — every name a serious value investor would recognize.

What's auto-computed. Each holding row carries the delta vs prior quarter (new / added / trimmed / unchanged / exited) plus position size and % of portfolio. No client-side joining.

What's filtered. Material moves only — new positions, full exits, ≥25% share-count shifts, or ≥$100M position size. No noise from $200K fractional trims.

Webhooks fire within 30 minutes of each new 13F-HR landing on SEC EDGAR — usually a 45-day lag from quarter end, occasionally the day after quarter close.

3. Drop-in AI context for your own chatbot

Building a stock-aware GPT? An investing copilot? A research assistant inside your app? Skip the months of plumbing.

GET /v1/ai-context/AAPL

Returns a ready-to-use system prompt + structured data block, scoped to one ticker. Includes the company overview, latest fundamentals, recent 13F moves, current sentiment, latest SEC filings, and our AI-generated valuation snapshot — all formatted so you can drop it straight into your LLM's context window.

{
  "system_prompt": "You are a research assistant grounded in current Apple Inc. data...",
  "context_block": "...structured ~6000-token data dump optimized for grounding...",
  "context_tokens_estimated": 5847,
  "as_of": "2026-05-17T14:23:00Z",
  "tools_available": ["fetch_filing_section", "fetch_quarterly_history", "fetch_smart_money"]
}

Drop it into OpenAI / Anthropic / any LLM SDK. We do the grounding; you build the product.