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.intent.rate","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.intent.rate",
"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.intent.rate",
"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.intent.rate",
"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": [
{
"promptIntent": "品牌推荐",
"promptCount": 32,
"selfBrandName": "我方品牌",
"selfBrandRate": 20.1,
"maxBrandName": "竞品A",
"maxBrandRate": 25.6,
"brandRateDiff": -5.5
},
{
"promptIntent": "产品对比",
"promptCount": 20,
"selfBrandName": "我方品牌",
"selfBrandRate": 18.6,
"maxBrandName": "竞品B",
"maxBrandRate": 22.3,
"brandRateDiff": -3.7
}
],
"timeStamp": 1788830174812
}
竞品对话场景AI声量对比
查询指定品牌在指定时间范围内各对话场景（意图分类）下我方品牌与声量最高竞品的 AI 声量占比对比，返回每个场景下的监测问题数量、我方品牌占比、最高品牌占比及差值，便于定位声量差距最大的对话场景。
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.intent.rate","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.intent.rate",
"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.intent.rate",
"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.intent.rate",
"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": [
{
"promptIntent": "品牌推荐",
"promptCount": 32,
"selfBrandName": "我方品牌",
"selfBrandRate": 20.1,
"maxBrandName": "竞品A",
"maxBrandRate": 25.6,
"brandRateDiff": -5.5
},
{
"promptIntent": "产品对比",
"promptCount": 20,
"selfBrandName": "我方品牌",
"selfBrandRate": 18.6,
"maxBrandName": "竞品B",
"maxBrandRate": 22.3,
"brandRateDiff": -3.7
}
],
"timeStamp": 1788830174812
}
查询指定品牌在指定时间范围内各对话场景（意图分类）下我方品牌与声量最高竞品的 AI 声量占比对比，返回每个场景下的监测问题数量、我方品牌占比、最高品牌占比及差值，便于定位声量差距最大的对话场景。
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.intent.rate |
| 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.intent.rate。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.intent.rate","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.intent.rate",
"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.intent.rate",
"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.intent.rate",
"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，每个元素对应一个对话场景的声量对比指标。若时间范围内无任何曝光数据，data 为 null；有曝光数据但无记录时，data 为空数组 []。string
对话场景。对话场景 / 意图分类名称。
integer
监测问题数量。该场景下按问题去重的监测 AI 对话问题数量。
string
我方品牌名称。我方品牌名称。
number
我方品牌 AI 声量占比。我方品牌在该场景下的 AI 声量占比（%）。
string
声量最高品牌名称。该场景下 AI 声量占比最高的品牌名称。
number
最高品牌 AI 声量占比。最高品牌的 AI 声量占比（%）。
number
AI 声量占比差值。我方品牌与最高品牌的占比差值（%），= selfBrandRate - maxBrandRate。
{
"code": 200,
"msg": "成功",
"data": [
{
"promptIntent": "品牌推荐",
"promptCount": 32,
"selfBrandName": "我方品牌",
"selfBrandRate": 20.1,
"maxBrandName": "竞品A",
"maxBrandRate": 25.6,
"brandRateDiff": -5.5
},
{
"promptIntent": "产品对比",
"promptCount": 20,
"selfBrandName": "我方品牌",
"selfBrandRate": 18.6,
"maxBrandName": "竞品B",
"maxBrandRate": 22.3,
"brandRateDiff": -3.7
}
],
"timeStamp": 1788830174812
}
接入注意事项
- apiCode 必须固定为 competitor.intent.rate。
- 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。
- 返回结构为对话场景维度数组（非分页）。
- 若时间范围内无任何曝光数据，data 为 null；有曝光数据但无记录时 data 为空数组 []，解析时做好空值兼容。
- brandRateDiff 可为负数，表示我方品牌落后于该场景声量最高品牌。
Java 返回对象
Java 返回对象
public class PromptIntentBrandRate {
private String promptIntent;
private Integer promptCount;
private String selfBrandName;
private BigDecimal selfBrandRate;
private String maxBrandName;
private BigDecimal maxBrandRate;
private BigDecimal brandRateDiff;
}
ReturnResult<List<PromptIntentBrandRate>>（ReturnResult 定义见 6.2.5）。TypeScript 类型
TypeScript 类型
export interface PromptIntentBrandRate {
promptIntent: string | null;
promptCount: number;
selfBrandName: string | null;
selfBrandRate: number | null;
maxBrandName: string | null;
maxBrandRate: number | null;
brandRateDiff: number | null;
}
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。