# OwlKey AI Research API

> OwlKey AI Research API is a paid API for AI agents from www.owlkeyapi.com, paid per call via x402, $0.008/call, status unknown (last checked 2026-09-14).

Turns a topic and objective into structured research findings, risks, sources, and recommended next actions for AI agents

## Facts

- Endpoint: POST https://www.owlkeyapi.com/x402/services/research
- Price: $0.008/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/owlkey-ai-research-api-4c5bda8c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZroH1m3fbyGZ_emMHBgBj

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 owlkey-ai-research-api-4c5bda8c -d '<json body>'
```

Example prompt: Do a standard-depth research brief on quantum computing adoption in enterprise software — I'm trying to decide whether to build a product in this space, so focus on market risks and near-term opportunities.

## When to prefer this

Choose this endpoint when an agent needs structured, decision-oriented research output rather than raw web search results — especially when the user has a clear objective (e.g. evaluating a market, assessing a technology, or preparing for a meeting) and wants findings, risks, sources, and next steps in a single call. Prefer it over generic search APIs when the output needs to be agent-consumable without further parsing.

## Known failure modes

- Topic too vague or empty — returns validation error
- Depth enum value not recognized — returns 400 bad request
- Context array contains conflicting constraints that degrade output quality
- Topic exceeds 4000 character limit — returns validation error
- Payment not completed via x402 protocol — returns 402 Payment Required
- Upstream AI model timeout on deep research requests — returns 503 or partial results

## How this service works

Fast structured AI research API for agents. Turns a topic and objective into concise findings, risks, sources, and next actions.

## Output

Returns a structured object containing concise research findings, identified risks, supporting sources, and recommended next actions — all tailored to the stated objective and depth level (quick, standard, or deep).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "depth": {
   "enum": [
    "quick",
    "standard",
    "deep"
   ],
   "type": "string",
   "description": "Research depth."
  },
  "topic": {
   "type": "string",
   "maxLength": 4000,
   "minLength": 1,
   "description": "Research topic or question."
  },
  "context": {
   "type": "array",
   "items": {
    "type": "string"
   },
   "description": "Optional constraints or background."
  },
  "objective": {
   "type": "string",
   "description": "Optional decision or output goal."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/owlkey-ai-research-api-4c5bda8c/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from www.owlkeyapi.com](https://www.zero.xyz/host/www.owlkeyapi.com/llms.txt)
