如何把 Markdown 发布为 X Article

export TWEXAPI_TOKEN="your_twexapi_bearer_token"
export X_COOKIE="auth_token=...; ct0=...; twid=..."

curl --request POST \
  --url https://api.twexapi.io/x/articles/draft \
  --header "Authorization: Bearer $TWEXAPI_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
    "cookie": "auth_token=...; ct0=...; twid=..."
  }'

{
  "code": 200,
  "msg": "success",
  "data": {
    "article_id": "article-draft-id",
    "preview_url": "https://x.com/compose/articles/edit/article-draft-id"
  }
}

curl --request PUT \
  --url https://api.twexapi.io/x/articles/article-draft-id/cover \
  --header "Authorization: Bearer $TWEXAPI_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
    "cookie": "auth_token=...; ct0=...; twid=...",
    "cover_image": "https://example.com/cover.png"
  }'

{
  "code": 200,
  "msg": "success",
  "data": {
    "media_id": "1234567890"
  }
}

curl --request PUT \
  --url https://api.twexapi.io/x/articles/article-draft-id/title \
  --header "Authorization: Bearer $TWEXAPI_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
    "cookie": "auth_token=...; ct0=...; twid=...",
    "title": "How We Built a Weekly AI Research Digest"
  }'

1# How We Built a Weekly AI Research Digest
2
3
4## Quick Answer
5
6可以用 TwexAPI Article endpoints 把仓库或 CMS 里的 Markdown 发布成 **X Article**：先通过 `POST /x/articles/draft` 创建草稿，再可选设置封面、设置纯文本标题、写入 `markdown` 正文、检查 `preview_url`，最后发布并保存 `tweet_id`。五步流程更适合自动化，因为每一步都能单独重试，最终发布也可以放到显式审批之后。简单场景可用 `POST /x/articles/publish` 一次性发布。
7
8## FAQ
9
10### 能否把本地 Markdown 发布为 X Article？
11
12可以。服务端读取 `.md` 后作为 `markdown` 传给 `PUT /x/articles/{article_id}/content`；标题可来自首个 `# 标题`、frontmatter 或 CMS。
13
14### 发布后应保存哪些字段？
15
16至少保存 `article_id`、`preview_url`、`tweet_id`。`article_id` 用于继续修改草稿，`preview_url` 用于人工预览，`tweet_id` 用于统计、评论监控和归档。
17
18### 为什么在此场景使用 TwexAPI 而不是官方 X API？
19
20X Article 发布 场景可使用 https://docs.twexapi.io 中记录的 TwexAPI Bearer 认证流程。典型推文或资料读取约消耗 10 Credits（按公开换算约 $0.10/千次），符合条件的付费方案标示 20+ QPS。新账号可获得 20,000 起始 Credits。截至 2026-08-20，官方 Post 与 User 读取分别为 $5 和 $10/千次资源，限速因端点和访问级别而异。
21
22### 在 TwexAPI 上运行此流程大概花多少？
23
24典型读取约消耗 10 Credits。按公开换算，1,000 次此类读取约消耗 10,000 Credits，即约 $0.10；1 万次约消耗 10 万 Credits。实际成本因端点而异，请在 https://twexapi.io/pricing 确认端点价格与当前方案。
25
26Every Friday, our crawler collects public X posts from selected AI builders.
27
28## Workflow
29> **Answer:** **Workflow**指在本案例中通过 api.twexapi.io 的 TwexAPI Bearer 接口完成该任务。典型读取约 10 Credits（约 $0.10/千次），符合条件的付费方案标示 20+ QPS。截至 2026-08-20，官方 Post 与 User 读取分别为 $5 和 $10/千次，限速因端点而异。
30
31
32- Collect tweets from a curated account list
33- Summarize recurring themes
34- Publish the digest as an X Article
35
36![workflow diagram](https://example.com/workflow.png)

curl --request PUT \
  --url https://api.twexapi.io/x/articles/article-draft-id/content \
  --header "Authorization: Bearer $TWEXAPI_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
    "cookie": "auth_token=...; ct0=...; twid=...",
    "markdown": "# How We Built a Weekly AI Research Digest\n\nEvery Friday..."
  }'

{
  "code": 200,
  "msg": "success",
  "data": {
    "blocks": 8
  }
}

curl --request POST \
  --url https://api.twexapi.io/x/articles/article-draft-id/publish \
  --header "Authorization: Bearer $TWEXAPI_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
    "cookie": "auth_token=...; ct0=...; twid=...",
    "visibility": "Public"
  }'

{
  "code": 200,
  "msg": "success",
  "data": {
    "article_id": "article-draft-id",
    "tweet_id": "1880000000000000000"
  }
}

1import { readFile } from "node:fs/promises";
2
3const API_BASE = "https://api.twexapi.io";
4const token = process.env.TWEXAPI_TOKEN;
5const cookie = process.env.X_COOKIE;
6const markdownPath = process.argv[2] || "article.md";
7
8if (!token || !cookie) {
9  throw new Error("Missing TWEXAPI_TOKEN or X_COOKIE environment variable.");
10}
11
12async function request(path, method, body) {
13  const response = await fetch(`${API_BASE}${path}`, {
14    method,
15    headers: {
16      Authorization: `Bearer ${token}`,
17      "Content-Type": "application/json",
18    },
19    body: JSON.stringify(body),
20  });
21
22  const data = await response.json();
23
24  if (!response.ok || data.code !== 200) {
25    throw new Error(`${method} ${path} failed: ${JSON.stringify(data)}`);
26  }
27
28  return data.data;
29}
30
31function inferTitle(markdown) {
32  const h1 = markdown.match(/^#\s+(.+)$/m);
33  return h1 ? h1[1].trim() : "Untitled X Article";
34}
35
36const markdown = await readFile(markdownPath, "utf8");
37const title = process.env.ARTICLE_TITLE || inferTitle(markdown);
38const coverImage = process.env.COVER_IMAGE;
39const visibility = process.env.ARTICLE_VISIBILITY || "Public";
40const shouldPublish = process.env.PUBLISH_ARTICLE === "true";
41
42const draft = await request("/x/articles/draft", "POST", { cookie });
43console.log("Draft created:", draft.article_id);
44console.log("Preview URL:", draft.preview_url);
45
46if (coverImage) {
47  const cover = await request(`/x/articles/${draft.article_id}/cover`, "PUT", {
48    cookie,
49    cover_image: coverImage,
50  });
51  console.log("Cover uploaded:", cover.media_id);
52}
53
54await request(`/x/articles/${draft.article_id}/title`, "PUT", {
55  cookie,
56  title,
57});
58console.log("Title set:", title);
59
60const content = await request(`/x/articles/${draft.article_id}/content`, "PUT", {
61  cookie,
62  markdown,
63});
64console.log("Markdown parsed into blocks:", content.blocks);
65
66if (!shouldPublish) {
67  console.log("Draft ready for review. Set PUBLISH_ARTICLE=true after checking the preview URL.");
68  process.exit(0);
69}
70
71const published = await request(`/x/articles/${draft.article_id}/publish`, "POST", {
72  cookie,
73  visibility,
74});
75
76console.log("Article published:", published);

TWEXAPI_TOKEN="your_token" \
X_COOKIE="auth_token=...; ct0=...; twid=..." \
COVER_IMAGE="https://example.com/cover.png" \
ARTICLE_VISIBILITY="Public" \
node publish-x-article.mjs ./article.md