Quickstart

Get a key and make your first search in under a minute.

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What your agent reads
### Get an API key

Sign in at [keirolabs.cloud](https://platform.keirolabs.cloud/dashboard), open **API Keys** and create a key. It starts with `keiro_` and is shown once, so copy it now.

```bash
export KEIRO_API_KEY="keiro_..."
```

### Make a request

**cURL**

```bash
curl -X POST https://api.keirolabs.cloud/api/v2/search/google \
  -H "Authorization: Bearer $KEIRO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "best vector databases 2026"}'
```

**Python**

```python
import os, requests

res = requests.post(
    "https://api.keirolabs.cloud/api/v2/search/google",
    headers={"Authorization": f"Bearer {os.environ['KEIRO_API_KEY']}"},
    json={"query": "best vector databases 2026"},
)
print(res.json())
```

**Node.js**

```js
const res = await fetch("https://api.keirolabs.cloud/api/v2/search/google", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.KEIRO_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ query: "best vector databases 2026" }),
});
console.log(await res.json());
```

### Read the response

```json
{
  "query": "best vector databases 2026",
  "results": [
    { "title": "...", "url": "https://...", "snippet": "..." }
  ],
  "count": 10,
  "latencyMs": 240,
  "creditsCharged": 2,
  "creditsRemaining": 11248
}
```

Every response tells you what it cost and what you have left.

## Next

  - [Get page content too](/content/search-content): Search and scrape the top results in one call.
  - [Let your agent do it](/mcp): Install Keiro MCP and your agent picks the right endpoint.
Every page: append .md to the URL. Whole site: /llms.txt · /llms-full.txt

Get an API key

Sign in at keirolabs.cloud, open API Keys and create a key. It starts with keiro_ and is shown once, so copy it now.

export KEIRO_API_KEY="keiro_..."

Make a request

curl -X POST https://api.keirolabs.cloud/api/v2/search/google \
  -H "Authorization: Bearer $KEIRO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "best vector databases 2026"}'

Read the response

{
  "query": "best vector databases 2026",
  "results": [
    { "title": "...", "url": "https://...", "snippet": "..." }
  ],
  "count": 10,
  "latencyMs": 240,
  "creditsCharged": 2,
  "creditsRemaining": 11248
}

Every response tells you what it cost and what you have left.

Next

Let your agent build it

Paste one prompt into Claude Code, Cursor, Codex or Windsurf. It installs Keiro MCP, reads these docs and writes the integration against the real API.

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