A Zhihu answer offers an appealing idea for your time-management article. Replacing its wording may preserve both the borrowed argument and any faulty assumptions. Decide what you actually agree with before drafting.
Keep each reference tied to its question
Use article search for leads and answer_id for an identified answer. Article and answer identifiers are not interchangeable. If a result is an article without a matching bound detail capability, inspect the original instead of forcing it through the answer endpoint.
Separate evidence from interpretation
Record the claim and distinguish personal experience, cited research and inference. Verify external facts at their original source where needed. Similarity to your experience does not permit presenting someone else's example as something that happened to you.
Draft an independent outline first
State the reader's problem, your claim, evidence and limits. A table can contain intended argument, your material, external source, assumption to check and possible counterexample. AI may inspect logical connections but must not invent research or cover evidence gaps with polished wording.
Give each paragraph a purpose
Remove passages that merely reproduce the reference without adding your explanation. Attribute distinctive ideas and preserve meaningful disagreements. Retrieval does not certify originality or truth. The deliverable is an independently reasoned draft and source list showing which judgments are yours, which rely on external material and where conditions remain unresolved.
Requests used in this project
- Get Zhihu Article Search V3:https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_article_search_v3 · Documentation
- Get Zhihu Answer Detail:https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_answer_detail · Documentation
Request URL and parameters
GET https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_article_search_v3
| Parameter | Type | Required | Meaning |
|---|---|---|---|
keyword |
string | Yes | Search Keywords |
offset |
string | No | Offset |
limit |
string | No | Number of articles per page |
show_all_topics |
integer | No | Show all topics |
search_source |
string | No | Search Source |
search_hash_id |
string | No | Search Hash ID |
vertical |
string | No | Vertical Type |
sort |
string | No | Sort |
time_interval |
string | No | Time Interval |
vertical_info |
string | No | Vertical Info |
Run the Python example
Install requests and set TRMESH_API_TOKEN in your environment. Replace the sample identifiers with the public object you intend to inspect. Example IDs may no longer be available.
import os
import requests
# Read your own developer key from the server environment.
url = "https://api.trmesh.com/openapi/api/v1/zhihu/web/fetch_article_search_v3"
params = {
"keyword": "YOUR_KEYWORD"
}
response = requests.get(
url, params=params, timeout=30,
headers={"Authorization": f"Bearer {os.environ['TRMESH_API_TOKEN']}"},
)
response.raise_for_status()
payload = response.json()
print(payload) # Inspect the actual response before mapping fields
Endpoint documentation · Free profile tool
API calls use your TRMesh account allowance. Check the endpoint price before running a script.