curl --location 'https://geobaseapi.aibase.com/v1/openapi/execute' \
--header 'Content-Type: application/json' \
--header 'AIBase-API-Key: AIBase_xxxxxxxxxxxxxxxx' \
--header 'AIBase-Request-Id: req-20260924-001' \
--data '{"apiCode":"sentiment.topic.statistics","data":{"brandId":"brand-001","startDate":"2026-09-01","endDate":"2026-09-23"}}'
import os
import requests
api_key = os.environ["AIBASE_API_KEY"]
headers = {
"AIBase-API-Key": api_key,
"Content-Type": "application/json",
"AIBase-Request-Id": "req-20260924-001",
}
payload = {
"apiCode": "sentiment.topic.statistics",
"data": {
"brandId": "brand-001",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
}
res = requests.post(
"https://geobaseapi.aibase.com/v1/openapi/execute",
headers=headers,
json=payload,
timeout=60,
)
res.raise_for_status()
body = res.json()
if body["code"] == 200:
print(body["data"])
const payload = {
"apiCode": "sentiment.topic.statistics",
"data": {
"brandId": "brand-001",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
};
const res = await fetch("https://geobaseapi.aibase.com/v1/openapi/execute", {
method: "POST",
headers: {
"Content-Type": "application/json",
"AIBase-API-Key": process.env.AIBASE_API_KEY,
"AIBase-Request-Id": "req-20260924-001",
},
body: JSON.stringify(payload),
});
const body = await res.json();
if (body.code === 200) {
console.log(body.data);
}
String body = """
{
"apiCode": "sentiment.topic.statistics",
"data": {
"brandId": "brand-001",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
}
""";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://geobaseapi.aibase.com/v1/openapi/execute"))
.header("Content-Type", "application/json")
.header("AIBase-API-Key", "AIBase_xxxxxxxxxxxxxxxx")
.header("AIBase-Request-Id", "req-20260924-001")
.POST(BodyPublishers.ofString(body))
.build();
HttpResponse<String> response = HttpClient.newHttpClient()
.send(request, BodyHandlers.ofString());
System.out.println(response.body());
{
"code": 200,
"msg": "成功",
"data": [
{
"llmName": "deepseek",
"totalCount": 200,
"visibilityBrandCount": 156,
"positiveCount": 98,
"neutralCount": 42,
"negativeCount": 16,
"positiveRate": 62.82,
"neutralRate": 26.92,
"negativeRate": 10.26,
"topicName": "产品对比"
},
{
"llmName": "chatgpt",
"totalCount": 180,
"visibilityBrandCount": 120,
"positiveCount": 70,
"neutralCount": 38,
"negativeCount": 12,
"positiveRate": 58.33,
"neutralRate": 31.67,
"negativeRate": 10.0,
"topicName": "未知"
}
],
"timeStamp": 1788830174812
}
主题口碑表现统计
查询指定品牌在指定时间范围内各业务主题的口碑表现，按「AI 平台 + 主题」聚合返回监测记录总数、品牌曝光数及正面 / 中性 / 负面的记录数与占比。
POST
/
v1
/
openapi
/
execute
curl --location 'https://geobaseapi.aibase.com/v1/openapi/execute' \
--header 'Content-Type: application/json' \
--header 'AIBase-API-Key: AIBase_xxxxxxxxxxxxxxxx' \
--header 'AIBase-Request-Id: req-20260924-001' \
--data '{"apiCode":"sentiment.topic.statistics","data":{"brandId":"brand-001","startDate":"2026-09-01","endDate":"2026-09-23"}}'
import os
import requests
api_key = os.environ["AIBASE_API_KEY"]
headers = {
"AIBase-API-Key": api_key,
"Content-Type": "application/json",
"AIBase-Request-Id": "req-20260924-001",
}
payload = {
"apiCode": "sentiment.topic.statistics",
"data": {
"brandId": "brand-001",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
}
res = requests.post(
"https://geobaseapi.aibase.com/v1/openapi/execute",
headers=headers,
json=payload,
timeout=60,
)
res.raise_for_status()
body = res.json()
if body["code"] == 200:
print(body["data"])
const payload = {
"apiCode": "sentiment.topic.statistics",
"data": {
"brandId": "brand-001",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
};
const res = await fetch("https://geobaseapi.aibase.com/v1/openapi/execute", {
method: "POST",
headers: {
"Content-Type": "application/json",
"AIBase-API-Key": process.env.AIBASE_API_KEY,
"AIBase-Request-Id": "req-20260924-001",
},
body: JSON.stringify(payload),
});
const body = await res.json();
if (body.code === 200) {
console.log(body.data);
}
String body = """
{
"apiCode": "sentiment.topic.statistics",
"data": {
"brandId": "brand-001",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
}
""";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://geobaseapi.aibase.com/v1/openapi/execute"))
.header("Content-Type", "application/json")
.header("AIBase-API-Key", "AIBase_xxxxxxxxxxxxxxxx")
.header("AIBase-Request-Id", "req-20260924-001")
.POST(BodyPublishers.ofString(body))
.build();
HttpResponse<String> response = HttpClient.newHttpClient()
.send(request, BodyHandlers.ofString());
System.out.println(response.body());
{
"code": 200,
"msg": "成功",
"data": [
{
"llmName": "deepseek",
"totalCount": 200,
"visibilityBrandCount": 156,
"positiveCount": 98,
"neutralCount": 42,
"negativeCount": 16,
"positiveRate": 62.82,
"neutralRate": 26.92,
"negativeRate": 10.26,
"topicName": "产品对比"
},
{
"llmName": "chatgpt",
"totalCount": 180,
"visibilityBrandCount": 120,
"positiveCount": 70,
"neutralCount": 38,
"negativeCount": 12,
"positiveRate": 58.33,
"neutralRate": 31.67,
"negativeRate": 10.0,
"topicName": "未知"
}
],
"timeStamp": 1788830174812
}
查询指定品牌在指定时间范围内各业务主题的口碑表现，按「AI 平台 + 主题」聚合返回监测记录总数、品牌曝光数及正面 / 中性 / 负面的记录数与占比。
完整响应类型可表示为
可按以上 TypeScript 类型定义解析响应数据。
执行模式：SYNC · 实时请求。
请求发出后服务端同步执行业务，结果直接在当前响应的
data 中返回，不存在异步任务、无需轮询、无需二次查询。接口速查
| 项目 | 当前接口约定 |
|---|---|
| 接口状态 | 已上线 |
| 请求方式 | POST |
| 请求地址 | https://geobaseapi.aibase.com/v1/openapi/execute |
| 业务标识 | sentiment.topic.statistics |
| 执行模式 | SYNC · 实时请求（直接返回，无需轮询） |
| 身份认证 | Header AIBase-API-Key |
| 请求格式 | application/json |
| 返回结构 | 数组（data 为对象数组，可能为空数组） |
请求头
string
required
开发者 API Key，例如
AIBase_xxx。用于身份认证、有效期与调用权限校验，请仅在服务端保存和使用。string
required
固定为
application/json。string
开发者自定义请求 ID，用于请求追踪；不传时系统自动生成 UUID。
请求体
string
required
固定为
sentiment.topic.statistics。object
required
业务请求参数对象。
string
required
品牌 ID。所属品牌 ID，为空返回 4001
string
AI平台。按 AI 平台筛选，如 deepseek；不传返回全部平台
string
开始日期。格式 yyyy-MM-dd；默认最近 7 天
string
结束日期。格式 yyyy-MM-dd；默认今天，不能晚于今天
时间范围规则：startDate/endDate 不传时默认查询最近 7 天；endDate 晚于今天会被自动截断为今天；起止时间跨度最大 6 个月；开始日期晚于结束日期将直接报错。
curl --location 'https://geobaseapi.aibase.com/v1/openapi/execute' \
--header 'Content-Type: application/json' \
--header 'AIBase-API-Key: AIBase_xxxxxxxxxxxxxxxx' \
--header 'AIBase-Request-Id: req-20260924-001' \
--data '{"apiCode":"sentiment.topic.statistics","data":{"brandId":"brand-001","startDate":"2026-09-01","endDate":"2026-09-23"}}'
import os
import requests
api_key = os.environ["AIBASE_API_KEY"]
headers = {
"AIBase-API-Key": api_key,
"Content-Type": "application/json",
"AIBase-Request-Id": "req-20260924-001",
}
payload = {
"apiCode": "sentiment.topic.statistics",
"data": {
"brandId": "brand-001",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
}
res = requests.post(
"https://geobaseapi.aibase.com/v1/openapi/execute",
headers=headers,
json=payload,
timeout=60,
)
res.raise_for_status()
body = res.json()
if body["code"] == 200:
print(body["data"])
const payload = {
"apiCode": "sentiment.topic.statistics",
"data": {
"brandId": "brand-001",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
};
const res = await fetch("https://geobaseapi.aibase.com/v1/openapi/execute", {
method: "POST",
headers: {
"Content-Type": "application/json",
"AIBase-API-Key": process.env.AIBASE_API_KEY,
"AIBase-Request-Id": "req-20260924-001",
},
body: JSON.stringify(payload),
});
const body = await res.json();
if (body.code === 200) {
console.log(body.data);
}
String body = """
{
"apiCode": "sentiment.topic.statistics",
"data": {
"brandId": "brand-001",
"startDate": "2026-09-01",
"endDate": "2026-09-23"
}
}
""";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://geobaseapi.aibase.com/v1/openapi/execute"))
.header("Content-Type", "application/json")
.header("AIBase-API-Key", "AIBase_xxxxxxxxxxxxxxxx")
.header("AIBase-Request-Id", "req-20260924-001")
.POST(BodyPublishers.ofString(body))
.build();
HttpResponse<String> response = HttpClient.newHttpClient()
.send(request, BodyHandlers.ofString());
System.out.println(response.body());
返回参数
业务结果位于 data，为主题口碑统计数组，按「AI 平台 + 主题」聚合返回监测记录总数、品牌曝光数及正面 / 中性 / 负面的记录数与占比。无数据时 data 为空数组 []。string
AI平台名称。如 豆包、DeepSeek、腾讯元宝 等。
integer
监测记录总条数。该主题下的监测记录总条数（包含品牌未曝光的记录）。
integer
曝光数量。品牌在该主题下的曝光记录数。
integer
正面记录数。品牌曝光且情感为正面的记录数。
integer
中性记录数。品牌曝光且情感为中性的记录数。
integer
负面记录数。品牌曝光且情感为负面的记录数。
number
正面占比。正面占比（%），保留 2 位小数。
number
中性占比。中性占比（%），保留 2 位小数。
number
负面占比。负面占比（%），保留 2 位小数。
string
主题名称。业务主题名称，为空时统一归为 未知。
{
"code": 200,
"msg": "成功",
"data": [
{
"llmName": "deepseek",
"totalCount": 200,
"visibilityBrandCount": 156,
"positiveCount": 98,
"neutralCount": 42,
"negativeCount": 16,
"positiveRate": 62.82,
"neutralRate": 26.92,
"negativeRate": 10.26,
"topicName": "产品对比"
},
{
"llmName": "chatgpt",
"totalCount": 180,
"visibilityBrandCount": 120,
"positiveCount": 70,
"neutralCount": 38,
"negativeCount": 12,
"positiveRate": 58.33,
"neutralRate": 31.67,
"negativeRate": 10.0,
"topicName": "未知"
}
],
"timeStamp": 1788830174812
}
接入注意事项
- apiCode 必须固定为 sentiment.topic.statistics。
- brandId 为必填参数，为空返回 4001（所需参数不足）。
- startDate/endDate 格式必须为 yyyy-MM-dd，默认最近 7 天，最大查询跨度 6 个月。
- 返回结构为主题口碑统计数组；无数据时 data 为空数组 []，解析时做好空值兼容。
- 按「AI 平台 + 主题」维度聚合，同一主题下可能包含多个 AI 平台的统计记录。
- topicName 为空时统一归为 未知。
- positiveRate / neutralRate / negativeRate 为百分比（保留 2 位小数），可能为 null，解析时做好空值兼容。
Java 返回对象
Java 返回对象
public class TopicSentimentStat {
private String llmName;
private Integer totalCount;
private Integer visibilityBrandCount;
private Integer positiveCount;
private Integer neutralCount;
private Integer negativeCount;
private BigDecimal positiveRate;
private BigDecimal neutralRate;
private BigDecimal negativeRate;
private String topicName;
}
ReturnResult<List<TopicSentimentStat>>（ReturnResult 定义见 6.2.5）。TypeScript 类型
TypeScript 类型
export interface TopicSentimentStat {
llmName: string | null;
totalCount: number | null;
visibilityBrandCount: number | null;
positiveCount: number | null;
neutralCount: number | null;
negativeCount: number | null;
positiveRate: number | null;
neutralRate: number | null;
negativeRate: number | null;
topicName: string;
}
本页的 cURL 与 Java 示例来自官方接口文档；Python 与 Node.js 示例为等价转写，未经服务端联调，请以实际返回结果为准。