InstantAI — AI赋能，链上透明

时间	交易哈希	代币	买入数量	Gas 费	区块
⏳ 正在从链上加载数据...

维度	🌟 InstantAI	交易所代币	MEME 币	假功能代币
市值潜能	⭐⭐⭐⭐⭐	⭐⭐⭐⭐	⭐⭐	⭐
盈利潜能	高 · 有基本面支撑	❌ 低 · 高市值上涨空间小	低 · 纯情绪驱动	极低 · 庄家控盘
代币用途	✅ 真实 AI 功能准入	✅ 手续费折扣	❌ 无实际用途	⚠️ 虚假承诺
链上透明度	✅ 金库公开可查	⚠️ 部分公开	⚠️ 合约开源	❌ 黑箱操作
RUG 风险	极低 · 功能锁定价值	低 · 机构背书	高 · 随时归零	极高 · 100% 跑路风险
投机程度	低 · 价值驱动	中 · 部分投机	极高 · 纯博弈	极高 · 击鼓传花

📖 开发者文档

通过以下接口接入 InstantAI 全部功能。修改 config.js 中的 DOCS_BASE_URL 即可全局生效

接口基础地址 %%BASE%%

POST %%BASE%%/api/openclaw/chat

Python

import requests

BASE_URL = "%%BASE%%"

payload = {
    "messages": [
        {"role": "user", "content": "帮我分析当前 BTC 市场趋势"}
    ],
    "serverUrl": "your-openclaw-server-url"
}

response = requests.post(
    f"{BASE_URL}/api/openclaw/chat",
    json=payload,
    headers={"Content-Type": "application/json"}
)

print(response.json())

Node.js

const BASE_URL = "%%BASE%%";

const response = await fetch(`${BASE_URL}/api/openclaw/chat`, {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    messages: [{ role: "user", content: "帮我分析当前 BTC 市场趋势" }],
    serverUrl: "your-openclaw-server-url"
  })
});

const data = await response.json();
console.log(data);

Java

import java.net.http.*;
import java.net.URI;

String BASE_URL = "%%BASE%%";

String body = """
    {"messages":[{"role":"user","content":"帮我分析当前 BTC 市场趋势"}],
     "serverUrl":"your-openclaw-server-url"}
    """;

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create(BASE_URL + "/api/openclaw/chat"))
    .header("Content-Type", "application/json")
    .POST(HttpRequest.BodyPublishers.ofString(body))
    .build();

HttpResponse<String> response = HttpClient.newHttpClient()
    .send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

POST %%BASE%%/api/llm/chat

Python

import requests

BASE_URL = "%%BASE%%"

payload = {
    "model": "qwen-max",
    "messages": [
        {"role": "system", "content": "你是一名专业的 AI 助手"},
        {"role": "user", "content": "用一句话介绍 InstantAI"}
    ]
}

response = requests.post(
    f"{BASE_URL}/api/llm/chat",
    json=payload,
    headers={"Content-Type": "application/json"}
)

print(response.json()["choices"][0]["message"]["content"])

Node.js

const BASE_URL = "%%BASE%%";

const res = await fetch(`${BASE_URL}/api/llm/chat`, {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    model: "qwen-max",
    messages: [
      { role: "system", content: "你是一名专业的 AI 助手" },
      { role: "user", content: "用一句话介绍 InstantAI" }
    ]
  })
});

const data = await res.json();
console.log(data.choices[0].message.content);

Java

import java.net.http.*;
import java.net.URI;

String BASE_URL = "%%BASE%%";
String body = """
    {"model":"qwen-max","messages":[
      {"role":"system","content":"你是一名专业的 AI 助手"},
      {"role":"user","content":"用一句话介绍 InstantAI"}
    ]}""";

HttpRequest req = HttpRequest.newBuilder()
    .uri(URI.create(BASE_URL + "/api/llm/chat"))
    .header("Content-Type","application/json")
    .POST(HttpRequest.BodyPublishers.ofString(body))
    .build();

String resp = HttpClient.newHttpClient()
    .send(req, HttpResponse.BodyHandlers.ofString()).body();
System.out.println(resp);

POST %%BASE%%/api/image/generate

Python

import requests

BASE_URL = "%%BASE%%"

payload = {
    "prompt": "赛博朋克风格的城市夜景，霓虹灯闪烁",
    "negativePrompt": "模糊, 低质量",
    "width": 1024,
    "height": 1024,
    "steps": 25
}

response = requests.post(
    f"{BASE_URL}/api/image/generate",
    json=payload
)

data = response.json()
print("图片URL:", data.get("imageUrl"))

Node.js

const BASE_URL = "%%BASE%%";

const res = await fetch(`${BASE_URL}/api/image/generate`, {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    prompt: "赛博朋克风格的城市夜景，霓虹灯闪烁",
    negativePrompt: "模糊, 低质量",
    width: 1024, height: 1024, steps: 25
  })
});

const { imageUrl } = await res.json();
console.log("图片URL:", imageUrl);

Java

import java.net.http.*;
import java.net.URI;

String BASE_URL = "%%BASE%%";
String body = """
    {"prompt":"赛博朋克风格的城市夜景，霓虹灯闪烁",
     "negativePrompt":"模糊, 低质量",
     "width":1024,"height":1024,"steps":25}""";

HttpResponse<String> resp = HttpClient.newHttpClient().send(
    HttpRequest.newBuilder()
        .uri(URI.create(BASE_URL + "/api/image/generate"))
        .header("Content-Type","application/json")
        .POST(HttpRequest.BodyPublishers.ofString(body))
        .build(),
    HttpResponse.BodyHandlers.ofString()
);
System.out.println(resp.body());

POST %%BASE%%/api/writing/generate

Python

import requests

BASE_URL = "%%BASE%%"

payload = {
    "task": "polish",        # expand/polish/summarize/translate/rewrite/continue
    "style": "专业",
    "length": "中等",
    "text": "我们的产品好用又实惠，大家都很喜欢。"
}

response = requests.post(
    f"{BASE_URL}/api/writing/generate",
    json=payload
)

print(response.json().get("result"))

Node.js

const BASE_URL = "%%BASE%%";

const res = await fetch(`${BASE_URL}/api/writing/generate`, {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    task: "polish",
    style: "专业",
    length: "中等",
    text: "我们的产品好用又实惠，大家都很喜欢。"
  })
});

const { result } = await res.json();
console.log(result);

Java

import java.net.http.*;
import java.net.URI;

String BASE_URL = "%%BASE%%";
String body = """
    {"task":"polish","style":"专业","length":"中等",
     "text":"我们的产品好用又实惠，大家都很喜欢。"}""";

HttpResponse<String> resp = HttpClient.newHttpClient().send(
    HttpRequest.newBuilder()
        .uri(URI.create(BASE_URL + "/api/writing/generate"))
        .header("Content-Type","application/json")
        .POST(HttpRequest.BodyPublishers.ofString(body))
        .build(),
    HttpResponse.BodyHandlers.ofString()
);
System.out.println(resp.body());

POST %%BASE%%/api/photo/restore

Python

import requests, base64

BASE_URL = "%%BASE%%"

# 提交任务
with open("old_photo.jpg", "rb") as f:
    img_b64 = base64.b64encode(f.read()).decode()

submit_res = requests.post(f"{BASE_URL}/api/photo/restore", json={
    "action": "submit",
    "imageBase64": f"data:image/jpeg;base64,{img_b64}",
    "mode": "both"   # both / restore / colorize
}).json()

task_id = submit_res.get("colorizeTaskId")

# 轮询结果
import time
for _ in range(30):
    time.sleep(4)
    poll = requests.post(f"{BASE_URL}/api/photo/restore", json={
        "action": "poll",
        "colorizeTaskId": task_id
    }).json()
    if poll.get("colorize", {}).get("status") == "SUCCEEDED":
        print("上色结果:", poll["colorize"]["url"])
        break

Node.js

const fs = require("fs");
const BASE_URL = "%%BASE%%";

// 提交任务
const imgB64 = fs.readFileSync("old_photo.jpg").toString("base64");
const submit = await fetch(`${BASE_URL}/api/photo/restore`, {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    action: "submit",
    imageBase64: `data:image/jpeg;base64,${imgB64}`,
    mode: "both"
  })
}).then(r => r.json());

const taskId = submit.colorizeTaskId;

// 轮询结果
const poll = async () => {
  const res = await fetch(`${BASE_URL}/api/photo/restore`, {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({ action: "poll", colorizeTaskId: taskId })
  }).then(r => r.json());
  if (res.colorize?.status === "SUCCEEDED") {
    console.log("上色结果:", res.colorize.url);
  } else setTimeout(poll, 4000);
};
setTimeout(poll, 4000);

Java

import java.net.http.*;
import java.net.URI;
import java.util.Base64;
import java.nio.file.*;

String BASE_URL = "%%BASE%%";

// 读取图片转 base64
byte[] imgBytes = Files.readAllBytes(Path.of("old_photo.jpg"));
String b64 = Base64.getEncoder().encodeToString(imgBytes);

// 提交任务
String submitBody = String.format(
    "{"action":"submit","imageBase64":"data:image/jpeg;base64,%s","mode":"both"}", b64);

String submitResp = HttpClient.newHttpClient().send(
    HttpRequest.newBuilder()
        .uri(URI.create(BASE_URL + "/api/photo/restore"))
        .header("Content-Type","application/json")
        .POST(HttpRequest.BodyPublishers.ofString(submitBody)).build(),
    HttpResponse.BodyHandlers.ofString()).body();

System.out.println("提交成功: " + submitResp);

持有即可体验
最前沿 AI 技术

🔒 持仓解锁 AI 功能矩阵

OpenClaw Agent

LLM 大模型对话

老照片修复上色

AI 图片生成

AI 写作助手

一句话生成视频

图片转视频

更多功能

为什么选择 InstantAI

体验最新 AI 功能

无需繁琐自我部署

零磨损无消耗

拒绝投机，真实赋能

税收分配助力币价上涨

透明公示 — 金库回购记录

项目对比维度分析

📖 开发者文档

发展路线图

Phase 1 — 基础平台上线

Phase 2 — 生态扩展

Phase 3 — DAO 治理启动

Phase 4 — Alpha 交易所

持有即可体验 最前沿 AI 技术

🔒 持仓解锁 AI 功能矩阵

OpenClaw Agent

LLM 大模型对话

老照片修复上色

AI 图片生成

AI 写作助手

一句话生成视频

图片转视频

更多功能

为什么选择 InstantAI

体验最新 AI 功能

无需繁琐自我部署

零磨损无消耗

拒绝投机，真实赋能

税收分配 助力币价上涨

透明公示 — 金库回购记录

项目对比 维度分析

📖 开发者 文档

发展 路线图

Phase 1 — 基础平台上线

Phase 2 — 生态扩展

Phase 3 — DAO 治理启动

Phase 4 — Alpha 交易所

LLM 大模型对话

AI 图片生成

AI 写作助手

老照片修复上色

持有即可体验
最前沿 AI 技术

税收分配助力币价上涨

项目对比维度分析

📖 开发者文档

发展路线图