Naver

Query Naver's AI Briefing via Wire — Korea's top search assistant, with citations

POSThttps://api.anakin.io/v1/wire/task

Naver AI Briefing is the AI answer surface on Korea's dominant search portal. Send a prompt (best in Korean) and get the answer with its citations and sources. Run it with the naver_prompt action on POST /v1/wire/task.

Catalog: naver · action_id: naver_prompt · Credits: 3 / call · Auth: none

Request Body

{
  "action_id": "naver_prompt",
  "params": { "prompt": "서울 커피 맛집 추천", "country": "kr" }
}

Parameter	Type	Description
`action_id` required	string	Set to `naver_prompt`
`params.prompt` required	string	Your question for Naver AI Briefing (best in Korean)
`params.country`	string	Egress country (2-letter). Supported: `kr`, `us`, … Default `kr`
`params.include_html`	boolean	Also return the answer as HTML under `answer_html`. Default `false`

Code Examples

curl -X POST https://api.anakin.io/v1/wire/task \
  -H "X-API-Key: your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "action_id": "naver_prompt",
    "params": { "prompt": "서울 커피 맛집 추천", "country": "kr" }
  }'

import requests

res = requests.post(
    'https://api.anakin.io/v1/wire/task',
    headers={'X-API-Key': 'your_api_key'},
    json={'action_id': 'naver_prompt', 'params': {'prompt': '서울 커피 맛집 추천', 'country': 'kr'}},
)
job_id = res.json()['job_id']

const res = await fetch('https://api.anakin.io/v1/wire/task', {
  method: 'POST',
  headers: { 'X-API-Key': 'your_api_key', 'Content-Type': 'application/json' },
  body: JSON.stringify({
    action_id: 'naver_prompt',
    params: { prompt: '서울 커피 맛집 추천', country: 'kr' },
  }),
});
const { job_id } = await res.json();

Response

202 Accepted

{ "status": "processing", "job_id": "…", "poll_url": "/v1/wire/jobs/…" }

Poll GET /v1/wire/jobs/{id} until status: "completed":

200 OK

{
  "status": "completed",
  "credits_used": 3,
  "data": {
    "status": "ok",
    "data": {
      "prompt": "…", "title": "…", "aib_available": true, "no_info": false,
      "answer_text": "…", "answer_text_markdown": "…", "answer_html": "…",
      "citations": [], "search_sources": [], "references": [],
      "related_questions": [], "recommendations": [],
      "shopping": [], "ads": [], "disclaimer": "…", "conversation_id": "…"
    },
    "meta": { "action_id": "naver_prompt", "catalog_slug": "naver", "envelope_version": "v1" }
  }
}

Field	Type	Description
`data.data.aib_available`	boolean	Whether an AI Briefing was served — check before relying on `answer_text`
`data.data.answer_text`	string	The answer (also `answer_text_markdown`, and `answer_html` when `include_html`)
`data.data.citations`	array	Sources cited in the answer
`data.data.related_questions`	array	Follow-up questions Naver surfaces

Answers are strongest for Korean-language, Korea-geo queries. Check aib_available before using answer_text. Billed only on success.