{
"geoid": "360610031002",
"resolved": {
"lat": 40.7128,
"lng": -74.006,
"state": "NY",
"county_fips": "061"
},
"safety_score": 94,
"safety_grade": "A",
"components": {
"property_crime": 93,
"violent_crime": 92,
"disorder": 48,
"frequency": 93
},
"data": {
"census_vintage": "2024",
"model_version": "2.0"
}
}
curl --location --request GET 'https://zylalabs.com/api/12945/crime+score+api/25838/get+safety+score?lat=40.7128&lng=-74.006' --header 'Authorization: Bearer YOUR_API_KEY'
{
"capturedAt": "2026-07-20T22:28:52.512Z",
"center": {
"lat": 40.7128,
"lng": -74.006
},
"radius_m": 5000,
"hours": 24,
"limit": 25,
"count": 25,
"scannedCells": 1,
"incidents": [
{
"id": "crimescore_73db130dc7e744b7fdb6d465",
"label": "Fire activity · Newyorkcity area",
"categories": [
"Fire"
],
"latitude": 40.754625,
"longitude": -74.001825,
"cityCode": "us-ny-newyorkcity",
"reportedAt": "2026-07-20T15:23:31.000Z",
"level": 0,
"rank": 12,
"distance_m": 4664
},
{
"id": "crimescore_3d64abe813d0a609345009db",
"label": "Police activity · NYC area",
"categories": [
"Police Related"
],
"latitude": 40.715565989127,
"longitude": -74.003010007554,
"cityCode": "nyc",
"reportedAt": "2026-07-20T15:23:24.000Z",
"level": 2,
"rank": 907,
"distance_m": 398
},
{
"id": "crimescore_b900864d8baacc659f282b88",
"label": "Traffic incident · NYC area",
"categories": [
"Traffic Related"
],
"latitude": 40.689942008206,
"longitude": -73.981558035119,
"cityCode": "nyc",
"reportedAt": "2026-07-20T15:19:55.000Z",
"level": 1,
"rank": 151,
"distance_m": 3272
},
{
"id": "crimescore_b5b385b32d4a966a1ad0e788",
"label": "Fire activity · NYC area",
"categories": [
"Fire"
],
"latitude": 40.713311,
"longitude": -73.982807,
"cityCode": "nyc",
"reportedAt": "2026-07-20T15:04:02.000Z",
"level": 0,
"rank": 246,
"distance_m": 1956
},
{
"id": "crimescore_560c950edf0c2d2e3eb00617",
"label": "Incident activity · Hudson area",
"categories": [],
"latitude": 40.720153,
"longitude": -74.041583,
"cityCode": "us-nj-hudson",
"reportedAt": "2026-07-20T14:54:01.000Z",
"level": 0,
"rank": 326,
"distance_m": 3108
},
{
"id": "crimescore_53cd9f4ce3e9a5ef66ebb239",
"label": "Property incident · NYC area",
"categories": [
"Robbery / Theft"
],
"latitude": 40.7158379,
"longitude": -73.9872649,
"cityCode": "nyc",
"reportedAt": "2026-07-20T14:50:21.000Z",
"level": 0,
"rank": 359,
"distance_m": 1615
},
{
"id": "crimescore_74eebde8158abce46eb9f524",
"label": "Fire activity · NYC area",
"categories": [
"Fire"
],
"latitude": 40.683301,
"longitude": -73.966147,
"cityCode": "nyc",
"reportedAt": "2026-07-20T14:48:30.000Z",
"level": 0,
"rank": 366,
"distance_m": 4695
},
{
"id": "crimescore_2072b57c7bc1629199031cb2",
"label": "Property incident · Hudson area",
"categories": [
"Robbery / Theft"
],
"latitude": 40.728363,
"longitude": -74.031884,
"cityCode": "us-nj-hudson",
"reportedAt": "2026-07-20T14:47:00.000Z",
"level": 0,
"rank": 371,
"distance_m": 2784
},
{
"id": "crimescore_9c549485d3e36419ba2232e3",
"label": "Traffic incident · NYC area",
"categories": [
"Traffic Related"
],
"latitude": 40.708141,
"longitude": -73.999467,
"cityCode": "nyc",
"reportedAt": "2026-07-20T14:40:27.000Z",
"level": 0,
"rank": 406,
"distance_m": 756
},
{
"id": "crimescore_9cc7818c195575e1ecdea109",
"label": "Hazardous Condition activity · NYC area",
"categories": [
"Hazardous Condition"
],
"latitude": 40.72266,
"longitude": -73.984905,
"cityCode": "nyc",
"reportedAt": "2026-07-20T14:38:30.000Z",
"level": 0,
"rank": 433,
"distance_m": 2089
},
{
"id": "crimescore_fc0eec5b65327a65054b512e",
"label": "Harassment activity · NYC area",
"categories": [
"Harassment"
],
"latitude": 40.71877410000002,
"longitude": -74.0022896,
"cityCode": "nyc",
"reportedAt": "2026-07-20T14:29:12.000Z",
"level": 0,
"rank": 479,
"distance_m": 734
},
{
"id": "crimescore_004ddad3924bd01f0b7b2b04",
"label": "Police activity · NYC area",
"categories": [
"Police Related"
],
"latitude": 40.72042,
"longitude": -74.01399,
"cityCode": "nyc",
"reportedAt": "2026-07-20T14:27:19.000Z",
"level": 1,
"rank": 822,
"distance_m": 1082
},
{
"id": "crimescore_c7b2e5a18f47a16abf7f8e51",
"label": "Gun-related report · NYC area",
"categories": [
"Weapon"
],
"latitude": 40.693345773357,
"longitude": -73.990858594883,
"cityCode": "nyc",
"reportedAt": "2026-07-20T14:20:38.000Z",
"level": 1,
"rank": 532,
"distance_m": 2512
},
{
"id": "crimescore_40e6142f8230183a7145c05b",
"label": "Incident activity · NYC area",
"categories": [],
"latitude": 40.751831592411,
"longitude": -73.984274358481,
"cityCode": "nyc",
"reportedAt": "2026-07-20T13:43:41.000Z",
"level": 0,
"rank": 681,
"distance_m": 4710
},
{
"id": "crimescore_a696b0ed1854dd89560ece7b",
"label": "Fire activity · NYC area",
"categories": [
"Fire"
],
"latitude": 40.707846,
"longitude": -73.956176,
"cityCode": "nyc",
"reportedAt": "2026-07-20T13:42:30.000Z",
"level": 0,
"rank": 693,
"distance_m": 4236
},
{
"id": "crimescore_a4ca63846ea926dc0524d4fe",
"label": "Fire activity · NYC area",
"categories": [
"Fire"
],
"latitude": 40.674979,
"longitude": -74.003432,
"cityCode": "nyc",
"reportedAt": "2026-07-20T13:19:30.000Z",
"level": 0,
"rank": 785,
"distance_m": 4211
},
{
"id": "crimescore_7a6b11d5a9045343e8de62a4",
"label": "Traffic incident · NYC area",
"categories": [
"Traffic Related"
],
"latitude": 40.673884628654,
"longitude": -73.999540654011,
"cityCode": "nyc",
"reportedAt": "2026-07-20T13:19:25.000Z",
"level": 0,
"rank": 798,
"distance_m": 4361
},
{
"id": "crimescore_16ed6309cca8a8423690c121",
"label": "Police activity · NYC area",
"categories": [
"Police Related"
],
"latitude": 40.749783306732,
"longitude": -73.987756703975,
"cityCode": "nyc",
"reportedAt": "2026-07-20T13:15:14.000Z",
"level": 0,
"rank": 792,
"distance_m": 4390
},
{
"id": "crimescore_6915f3f5547c8a0b8709030a",
"label": "Hazardous Condition activity · NYC area",
"categories": [
"Hazardous Condition"
],
"latitude": 40.69581689999999,
"longitude": -73.9806598,
"cityCode": "nyc",
"reportedAt": "2026-07-20T13:13:45.000Z",
"level": 0,
"rank": 799,
"distance_m": 2851
},
{
"id": "crimescore_d89a745bae7b429501d382c4",
"label": "Fire activity · NYC area",
"categories": [
"Fire"
],
"latitude": 40.715874,
"longitude": -74.003609,
"cityCode": "nyc",
"reportedAt": "2026-07-20T13:07:38.000Z",
"level": 1,
"rank": 913,
"distance_m": 397
},
{
"id": "crimescore_886b8b8c0dd57cc6e1b14c86",
"label": "Assault report · NYC area",
"categories": [
"Assault / Fight"
],
"latitude": 40.73987226200006,
"longitude": -73.98660044399998,
"cityCode": "nyc",
"reportedAt": "2026-07-20T13:00:26.000Z",
"level": 1
}
],
"_note": "Response truncated for documentation purposes"
}
curl --location --request GET 'https://zylalabs.com/api/12945/crime+score+api/25839/get+nearby+incidents?lat=40.7128&lng=-74.006&radius_m=5000&hours=24&limit=25' --header 'Authorization: Bearer YOUR_API_KEY'
注册后,每个开发者都会被分配一个个人 API 访问密钥,这是一个唯一的字母和数字组合,用于访问我们的 API 端点。要使用 犯罪评分 API 进行身份验证,只需在 Authorization 标头中包含您的 bearer token。
| 标头 | 描述 |
|---|---|
授权
|
必需
应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。
|
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领先企业的信赖之选
CrimeScore 提供更高的是更安全的安全分数、等级、组件分数、模型因素以及美国房地产、PropTech 和地点产品的附近事件背景
/score 返回一个安全评分 级别 已解决的地理位置 四个组成评分 和发布元数据 /score/details 添加本地模型因素 /incidents/nearby 返回围绕坐标的限制最近事件的上下文
Safety_score 是一个0-100的值,值越高表示越安全 safety_grade 是匹配的A-F等级 components包含四个组件分数 resolved包含位置信息 data包含发布元数据
响应使用JSON 坐标分数响应包括一个人口普查块组地理标识符和解析后的坐标 ZIP响应包括zcta 解析后的zip和块组计数元数据
得分详情端点返回选定的整体或组件安全评分和等级,以及带标签、方向和相对影响的贡献因素模型因素影响不是确定性或因果关系
/score 和 /score/details 需要同时提供纬度和经度或一个5位数邮政编码,使用恰好一种位置模式 /incidents/nearby 需要纬度和经度
犯罪评分API汇总了美国各地的公共安全和犯罪报告来源的数据。通过定期更新和规范化过程来维护数据的准确性,以确保一致性和可靠性
常见用途包括房地产和PropTech产品、物业和社区页面、位置智能、投资组合研究、嵌入式安全地图和内部物业分析 使用限制适用
安全分数是一个相对邻里估计,较高的值表示更安全,A是最好的等级。它不是针对特定物业或特定个人的预测,也不保证某个事件会或不会发生
犯罪评分API提供整个美国各地的犯罪数据和安全评分,包括城市、郊区和农村地区。用户可以获取这些地区特定坐标的评分
附近请求需要纬度和经度 将半径设置为100到16000小时设置为1到24限制设置为1到100 默认值为5000米24小时和25条结果
安全等级使用相同的越高越安全的惯例:A是80到100 B是60到80以下 C是40到60以下 D是20到40以下 F是20以下
附近事件受到请求的坐标 半径 最长24小时的回溯窗口和结果限制的约束 返回的记录经过消毒和标准化的最新上下文
附近事件记录可以包括一个id 标签 分类 坐标 reportedAt时间戳和距离_m CrimeScore不公开原始源负载 媒体 用户数据或内部源标识符
分数使用共享发布、组件定义、等级阈值和普查地理信息 最近事件刷新的时间与分数数据发布是分开的
组件对象包含暴力犯罪 财产犯罪 失序和频率 每个组件使用与总体得分相同的0-100的更高更安全的惯例
模型因素可从/score/details获取 方向为raises_safety_score或lowers_safety_score,影响为高、中或低 它们描述的是相对模型影响,而不是确定性或因果关系