# x402stock AI Equity Research Memo

> x402stock AI Equity Research Memo is a paid API for AI agents from agents.x402stock.xyz, paid per call via MPP, $0.75/call, status healthy (last checked 2026-10-12, last successful call 2026-10-08).

Generates a full LLM-synthesized equity research memo for a US-listed stock, covering fundamentals, technicals, insider activity, short interest, SEC filings, news, and sentiment with bull/bear analysis and an overall stance.

## Facts

- Endpoint: GET https://agents.x402stock.xyz/api/v1/research/{ticker}?utm_source=zero.xyz
- Price: $0.75/call
- Payment: MPP
- Status: healthy
- Last checked: 2026-10-12
- Last successful call: 2026-10-08
- Success rate: 100% of calls made through Zero
- Activations on Zero: 4
- Provider: agents.x402stock.xyz
- Website: https://agents.x402stock.xyz
- Canonical page: https://www.zero.xyz/c/agents-x402stock-xyz-x402stock-ai-equity-research-memo-41cfc4bf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WTuShxoSa-chKbnHGPV0X

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability agents-x402stock-xyz-x402stock-ai-equity-research-memo-41cfc4bf
```

Example prompt: Can you pull a full AI equity research memo on NVDA — I want the bull and bear case, valuation context, insider signals, short interest, and an overall stance?

## When to prefer this

Choose this endpoint when you need a comprehensive, multi-signal equity research summary in a single call rather than assembling individual data feeds (fundamentals, filings, technicals, sentiment) yourself. Ideal for quickly briefing an agent or user on a US stock before a trading decision, earnings event, or portfolio review. Best when you need both structured signal readouts AND a synthesized narrative with bull/bear framing rather than raw data alone.

## Known failure modes

- Unknown or invalid ticker returns an error or empty memo_generated flag
- Data completeness may be low if SEC or market data feeds are partially unavailable (completeness.fraction < 1)
- LLM synthesis may return null report if insufficient data sections are available
- Rate limiting or payment failure if USDC balance is insufficient for the $0.75 per-call fee
- Non-US-listed tickers (e.g. foreign ADRs with unusual symbols) may not be supported

## How this service works

Returns an AI-generated equity-research report for one stock.

## Output

Returns a structured equity research memo including: a thesis summary, bull case points, bear case points, valuation context, catalysts, risk factors, and a per-signal readout (insider, short interest, technical, sentiment, institutional), plus an overall stance (bullish/neutral/bearish/mixed) and a confidence level (low/medium/high). Also includes completeness metadata, the underlying evidence object, the model used, and a disclaimer.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "ticker"
 ],
 "properties": {
  "ticker": {
   "type": "string",
   "description": "US-listed ticker symbol (uppercase), e.g. AAPL."
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "ticker",
  "source",
  "as_of",
  "sections",
  "completeness",
  "memo_generated",
  "report",
  "evidence",
  "model",
  "disclaimer"
 ],
 "properties": {
  "as_of": {
   "type": "string"
  },
  "model": {
   "type": "string"
  },
  "report": {
   "anyOf": [
    {
     "type": "object",
     "required": [
      "thesis_summary",
      "bull_case",
      "bear_case",
      "valuation_context",
      "catalysts",
      "risk_factors",
      "signal_readout",
      "overall_stance",
      "confidence"
     ],
     "properties": {
      "bear_case": {
       "type": "array",
       "items": {
        "type": "string"
       }
      },
      "bull_case": {
       "type": "array",
       "items": {
        "type": "string"
       }
      },
      "catalysts": {
       "type": "array",
       "items": {
        "type": "string"
       }
      },
      "confidence": {
       "enum": [
        "low",
        "medium",
        "high"
       ],
       "type": "string"
      },
      "risk_factors": {
       "type": "array",
       "items": {
        "type": "string"
       }
      },
      "overall_stance": {
       "enum": [
        "bullish",
        "neutral",
        "bearish",
        "mixed"
       ],
       "type": "string"
      },
      "signal_readout": {
       "type": "object",
       "required": [
        "insider",
        "short_interest",
        "technical",
        "sentiment",
        "institutional"
       ],
       "properties": {
        "insider": {
         "type": "string"
        },
        "sentiment": {
         "type": "string"
        },
        "technical": {
         "type": "string"
        },
        "institutional": {
         "type": "string"
        },
        "short_interest": {
         "type": "string"
        }
       },
       "additionalProperties": false
      },
      "thesis_summary": {
       "type": "string"
      },
      "valuation_context": {
       "type": "string"
      }
     },
     "additionalProperties": false
    },
    {
     "type": "null"
    }
   ]
  },
  "source": {
   "type": "string",
   "const": "x402stock"
  },
  "ticker": {
   "type": "string"
  },
  "evidence": {
   "type": "object",
   "propertyNames": {
    "type": "string"
   },
   "additionalProperties": {}
  },
  "sections": {
   "type": "object",
   "propertyNames": {
    "type": "string"
   },
   "additionalProperties": {
    "type": "string"
   }
  },
  "disclaimer": {
   "type": "string"
  },
  "comp
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agents-x402stock-xyz-x402stock-ai-equity-research-memo-41cfc4bf/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agents.x402stock.xyz](https://www.zero.xyz/host/agents.x402stock.xyz/llms.txt)