Zhihu Answer API
Fetch a public Zhihu answer with normalized author and question data.
$1.20/1k req, pay per request, no subscription.
{"id": "3852641177","url": "https://www.zhihu.com/question/37811449/answer/3852641177","excerpt": "先说结论：DeepSeek最大的意义不是便宜，而是把训练成本曲线往下砸了一个数量级，逼着整个行业重新算账。","text": "先说结论：DeepSeek最大的意义不是便宜，而是把训练成本曲线往下砸了一个数量级，逼着整个行业重新算账。\n\n过去一年大家习惯了大模型等于烧钱，融资几十亿美金才敢入场。DeepSeek-V3用远低于同行的训练成本做到了接近第一梯队的效果，直接把护城河这个叙事戳破了一半。\n\n我自己在做量化研究，最近把内部一部分文本处理管线切到了DeepSeek的接口上，同等预算下吞吐量提升了大概三倍，这个对中小团队是实打实的降本。","createdUtc": 1706227200,"updatedUtc": 1706400000,"authorUserId": "a1b2c3d4e5f6","authorToken": "lin-yu-84-27",... 6 more fields}
Pricing
Zhihu Answer API pricing
Try it
Get Zhihu answer in one request
This sample shows 16 of 17 fields. See every field
{
"found": true,
"data": {
"id": "3852641177",
"url": "https://www.zhihu.com/question/37811449/answer/3852641177",
"excerpt": "先说结论：DeepSeek最大的意义不是便宜，而是把训练成本曲线往下砸了一个数量级，逼着整个行业重新算账。",
"text": "先说结论：DeepSeek最大的意义不是便宜，而是把训练成本曲线往下砸了一个数量级，逼着整个行业重新算账。\n\n过去一年大家习惯了大模型等于烧钱，融资几十亿美金才敢入场。DeepSeek-V3用远低于同行的训练成本做到了接近第一梯队的效果，直接把护城河这个叙事戳破了一半。\n\n我自己在做量化研究，最近把内部一部分文本处理管线切到了DeepSeek的接口上，同等预算下吞吐量提升了大概三倍，这个对中小团队是实打实的降本。",
"createdUtc": 1706227200,
"updatedUtc": 1706400000,
"authorUserId": "a1b2c3d4e5f6",
"authorToken": "lin-yu-84-27",
"authorName": "林语",
"authorImage": "https://pic1.zhimg.com/v2-8f3a2c9b1d0e4f5a6b7c8d9e0f1a2b3c_l.jpg",
"authorHeadline": "量化研究员 / 机器学习爱好者",
"authorUrl": "https://www.zhihu.com/people/lin-yu-84-27",
"questionId": "37811449",
"questionTitle": "如何评价 DeepSeek？"
}
}Full parameter and response reference - every field, type, and example for this endpoint.
Reference
One request, one response shape.
Every field you send and every field you get back, each with a real example.
Last verified 2026-10-31 · uptime and latency measured over 30d
Request body
JSON, posted to this endpoint.
- answerIdstring
3852641177
Zhihu answer identifier.
Response
JSON, one example value per field.
Normalized answer data, or null when not found.
- authorHeadlinestring
量化研究员 / 机器学习爱好者
Author headline.
- authorImagestring
https://pic1.zhimg.com/v2-8f3a2c9b1d0e4f5a6b7c8d9e0f1a2b3c_l.jpg
Author avatar URL.
- authorNamestring
林语
Author display name. Populated whenever the provider has data for the entity.
- authorTokenstring
lin-yu-84-27
Author URL token.
- authorUrlstring
https://www.zhihu.com/people/lin-yu-84-27
Canonical URL of the author's Zhihu profile.
- authorUserIdstring
a1b2c3d4e5f6
Author identifier.
- createdUtcnumber
1706227200
UTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds. Populated whenever the provider has data for the entity.
- excerptstring
先说结论：DeepSeek最大的意义不是便宜，而是把训练成本曲线往下砸了一个数量级，逼着整个行业重新算账。
Answer excerpt. Populated whenever the provider has data for the entity.
- idstring
3852641177
Answer identifier. Populated whenever the provider has data for the entity.
- questionIdstring
37811449
Parent question identifier. Populated whenever the provider has data for the entity.
- questionTitlestring
如何评价 DeepSeek？
Parent question title. Populated whenever the provider has data for the entity.
- textstring
先说结论：DeepSeek最大的意义不是便宜，而是把训练成本曲线往下砸了一个数量级，逼着整个行业重新算账。 过去一年大家习惯了大模型等于烧钱，融资几十亿美金才敢入场。DeepSeek-V3用远低于同行的训练成本做到了接近第一梯队的效果，直接把护城河这个叙事戳破了一半。 我自己在做量化研究，最近把内部一部分文本处理管线切到了DeepSeek的接口上，同等预算下吞吐量提升了大概三倍，这个对中小团队是实打实的降本。
Full body text of the answer, with HTML markup stripped.
- updatedUtcnumber
1706400000
Last update UTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds.
- urlstring
https://www.zhihu.com/question/37811449/answer/3852641177
Canonical answer URL. Populated whenever the provider has data for the entity.
- foundboolean
true
True when the answer was found.
- reason"not_found"
Present only when `found` is false, and says why there is no result. `not_found`: the source states the target does not exist, or returned nothing for it. A `found: false` answer is a successful call, not an error, and `costUsd` is what it actually cost.
FAQ
About the Zhihu Answer API
The AnyAPI Zhihu Answer API returns Zhihu answer data as normalized JSON from one POST call to /v1/run/zhihu.answer. Fetch a public Zhihu answer with normalized author and question data. AnyAPI returns one normalized schema whichever source serves it. It costs from $1.20 per 1,000 requests, in US dollars with no subscription and no monthly minimum. Over the last 30 days, 100.0% of Zhihu answer calls through AnyAPI succeeded, with a median response time of 0.8 seconds across 4 measured calls.
