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":"competitor.sentiment","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": "competitor.sentiment",
"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": "competitor.sentiment",
"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": "competitor.sentiment",
"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": [
{
"competitorName": "竞品A",
"sentimentScore": 72.5,
"positiveRatio": 58.2,
"negativeRatio": 15.3,
"neutralRatio": 26.5,
"positiveCnt": 120,
"negativeCnt": 32,
"neutralCnt": 55,
"totalCnt": 207
},
{
"competitorName": "我方品牌",
"sentimentScore": 68.0,
"positiveRatio": 52.0,
"negativeRatio": 18.5,
"neutralRatio": 29.5,
"positiveCnt": 96,
"negativeCnt": 34,
"neutralCnt": 55,
"totalCnt": 185
}
],
"timeStamp": 1788830174812
}
竞品口碑对比
查询指定品牌在指定时间范围内与监测竞品的口碑(情感)对比,返回各竞品与我方品牌的综合情感得分、正面/负面/中性占比及各情感条数,便于横向对比品牌口碑表现。
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":"competitor.sentiment","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": "competitor.sentiment",
"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": "competitor.sentiment",
"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": "competitor.sentiment",
"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": [
{
"competitorName": "竞品A",
"sentimentScore": 72.5,
"positiveRatio": 58.2,
"negativeRatio": 15.3,
"neutralRatio": 26.5,
"positiveCnt": 120,
"negativeCnt": 32,
"neutralCnt": 55,
"totalCnt": 207
},
{
"competitorName": "我方品牌",
"sentimentScore": 68.0,
"positiveRatio": 52.0,
"negativeRatio": 18.5,
"neutralRatio": 29.5,
"positiveCnt": 96,
"negativeCnt": 34,
"neutralCnt": 55,
"totalCnt": 185
}
],
"timeStamp": 1788830174812
}
查询指定品牌在指定时间范围内与监测竞品的口碑(情感)对比,返回各竞品与我方品牌的综合情感得分、正面/负面/中性占比及各情感条数,便于横向对比品牌口碑表现。
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 | competitor.sentiment |
| 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
competitor.sentiment。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":"competitor.sentiment","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": "competitor.sentiment",
"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": "competitor.sentiment",
"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": "competitor.sentiment",
"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,为数组结构,每个元素对应一个品牌(我方品牌与监测竞品)的口碑统计。无数据时 data 为空数组 []。string
品牌名称。品牌或竞品名称,包含我方品牌自身。
number
综合情感得分。该品牌的综合情感得分。
number
正面占比。正面评价占比(%)。
number
负面占比。负面评价占比(%)。
number
中性占比。中性评价占比(%)。
integer
正面条数。正面评价条数。
integer
负面条数。负面评价条数。
integer
中性条数。中性评价条数。
integer
总条数。参与统计的评价总条数。
{
"code": 200,
"msg": "成功",
"data": [
{
"competitorName": "竞品A",
"sentimentScore": 72.5,
"positiveRatio": 58.2,
"negativeRatio": 15.3,
"neutralRatio": 26.5,
"positiveCnt": 120,
"negativeCnt": 32,
"neutralCnt": 55,
"totalCnt": 207
},
{
"competitorName": "我方品牌",
"sentimentScore": 68.0,
"positiveRatio": 52.0,
"negativeRatio": 18.5,
"neutralRatio": 29.5,
"positiveCnt": 96,
"negativeCnt": 34,
"neutralCnt": 55,
"totalCnt": 185
}
],
"timeStamp": 1788830174812
}
接入注意事项
- apiCode 必须固定为 competitor.sentiment。
- 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。
- 返回结构为品牌口碑维度数组(非分页);无数据时 data 为空数组 [],解析时做好空值兼容。
- positiveRatio、negativeRatio、neutralRatio 为百分比数值。
- totalCnt 为参与情感统计的评价总条数,等于正面、负面、中性条数之和。
Java 返回对象
Java 返回对象
public class CompetitorSentiment {
private String competitorName;
private BigDecimal sentimentScore;
private BigDecimal positiveRatio;
private BigDecimal negativeRatio;
private BigDecimal neutralRatio;
private Long positiveCnt;
private Long negativeCnt;
private Long neutralCnt;
private Long totalCnt;
}
ReturnResult<List<CompetitorSentiment>>(ReturnResult 定义见 6.2.5)。TypeScript 类型
TypeScript 类型
export interface CompetitorSentiment {
competitorName: string | null;
sentimentScore: number | null;
positiveRatio: number | null;
negativeRatio: number | null;
neutralRatio: number | null;
positiveCnt: number;
negativeCnt: number;
neutralCnt: number;
totalCnt: number;
}
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。