# \*/times, reads and raw data {% hint style="info" %} The \*/times API generates a detection from a received location if it fulfills three conditions. The API can provide multiple detections for a split. * The device id belongs to the event. * The location is around the detection radius of a geofence. * The timestamp of the location is between the event start- and end time. {% endhint %} * **Effortless detections** with virtual timekeeping points (geofence) and with geolocations of participants. No timing hardware, no transponders. * **Passings are recorded in a radius** around the geofence. Set the radius in the setting of the data API of your event. * **Flexibly adjust settings in between:** add timekeeping points or change their locations of a running event or even of a past event, recalculate detections with new parameters. ### Request **URL** `https://racemap.com/api/data/v1/:eventId/times`\ **Method** GET **Live sample** \ **Past sample** #### Optional query with `id` of a checkpoint * The `id` of a virtual timekeeping point to get all reads of this geofence in chronological order. * Live sample split "Split 3" \ [https://racemap.com/api/data/v1/61a21210e5d45d000199f7d9/times/**6450e60747adaed475b484b4**](https://racemap.com/api/data/v1/61a21210e5d45d000199f7d9/times/6450e60747adaed475b484b4) * Past sample split "Finish" \ [https://racemap.com/api/data/v1/60a3b443f096f800018add7c/times/**64513872c3ab09659eb09683**](https://racemap.com/api/data/v1/60a3b443f096f800018add7c/times/64513872c3ab09659eb09683) ### Response #### Event object | Field | Description \[unit] | Sample | | -------------- | ----------------------------- | --------------------------------- | | `name` | Name of event | `"Sample live \| 100km Duathlon"` | | `location` | Location | `"🇩🇪 Dresden"` | | `startTime` | Start time in UTC | `"2022-03-09T07:00:03.201Z"` | | `endTime` | End time in UTC | `"2022-03-09T14:59:38.201Z"` | | `timekeepings` | Array for checkpoint objects | | | `starters` | Array for participant objects | | #### Checkpoint object
FieldDescriptionSample
nameName of virtual timekeeping point "Split 5"
offsetDistance [m] along the shadowtrack49222.81
idUnique Racemap ID of timekeeping point"6450e60747adaed475b48"
positionArray with longitude, latitude, hight [m]13.881129999, 51.075250000, 250
#### Participant object | Field | Description \[unit] | Sample | | ------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `id` | Unique Racemap ID of participant | `"61a2122f181c0a6c4bb5376e"` | | `importId` | User-defined ID with imported participant data, [Generic API](/api-import-and-export-data/import-basics/metadata-api.md) (`importId`) or [RACE\|RESULT API](/api-import-and-export-data/import-basics/metadata-import-via-rr.md) (`Id`) |

"UniqueImportId\_2" or "null"
if no importId exists

| | `startNumber` | Bib number | `"2"` | | `name` | Name | `"CLV Megware"` | | `times` | Object for checkpoint arrays |

null
if no locations within startTime and endTime
{}
if there are locations but no detections

| #### Checkpoint array
DescriptionSample
Unique Racemap ID of timekeeping point, array for detection objects 6450e60747adaed475b484b4
#### Detection object | Field | Description \[unit] | Sample | | ----------------- | ------------------------------------------------- | ---------------------------- | | `time` | Timestamp of detection in UTC | `"2022-03-09T10:08:00.000Z"` | | `distanceToSplit` | Distance \[m] of detection from timekeeping point | `43.96` | #### Sample response {% code expandable="true" %} ```javascript { "name": "Sample | 100km Duathlon", "location": "🇩🇪 Dresden", "startTime": "2020-04-25T06:00:00Z", "endTime": "2020-10-30T18:15:00Z", "timekeepings": [ { "name": "Start", "offset": 0, "position": [13.704069467101244, 51.027617808548015, 159], "id": "64513872c3ab09659eb09674" }, { "name": "Ruppendorf", "offset": 29510, "position": [13.599722542890463, 50.90910508578093, 377], "id": "64513873368d2f24f3a5feb9" }, { "name": "🕖", "offset": 48130, "position": [13.633563734472718, 50.77911506210913, 570], "id": "64513873a2c6e28dbe010405" }, { "name": "Bergwertung", "offset": 49950, "position": [13.623273503927214, 50.76995405256768, 743], "id": "64513874c3ab09659eb096b5" }, { "name": "🕖", "offset": 67660, "position": [13.69125, 50.82612, 471], "id": "645138746451816d07b38788" }, { "name": "Bergwertung", "offset": 68780, "position": [13.697525647974045, 50.83382486871975, 603], "id": "6451387410e583b28d7167e6" }, { "name": "Finish", "offset": 100260, "position": [13.704038205094022, 51.02687962934201, 166], "id": "64513872c3ab09659eb09683" } ], "starters": [ { "id": "60a3b6791474227ee54a5bdf", "importId": "UniqueImportId_1", "startNumber": "01", "name": "Konrad", "times": null }, { "id": "60a3b679147422b72a4a5be0", "importId": "UniqueImportId_2", "startNumber": "02", "name": "Jörg", "times": { "64513872c3ab09659eb09674": [ { "time": "2020-04-26T08:23:55Z", "distanceToSplit": 16.81 }, { "time": "2020-04-26T08:24:00Z", "distanceToSplit": 8.92 } ], "64513873368d2f24f3a5feb9": [ { "time": "2020-04-26T10:19:45Z", "distanceToSplit": 20.36 }, { "time": "2020-04-26T10:19:50Z", "distanceToSplit": 26.4 } ], "64513873a2c6e28dbe010405": [ { "time": "2020-04-26T11:30:40Z", "distanceToSplit": 14.17 }, { "time": "2020-04-26T11:30:45Z", "distanceToSplit": 15.18 } ], "64513874c3ab09659eb096b5": [ { "time": "2020-04-26T11:41:05Z", "distanceToSplit": 19.22 }, { "time": "2020-04-26T11:41:10Z", "distanceToSplit": 4.46 } ], "645138746451816d07b38788": [ { "time": "2020-04-26T13:00:30Z", "distanceToSplit": 16.19 }, { "time": "2020-04-26T13:00:35Z", "distanceToSplit": 8.29 }, { "time": "2020-04-26T13:00:40Z", "distanceToSplit": 17.85 }, { "time": "2020-04-26T13:00:45Z", "distanceToSplit": 27.8 } ], "6451387410e583b28d7167e6": [ { "time": "2020-04-26T13:08:40Z", "distanceToSplit": 26.12 }, { "time": "2020-04-26T13:08:45Z", "distanceToSplit": 12.82 }, { "time": "2020-04-26T13:08:50Z", "distanceToSplit": 4.25 }, { "time": "2020-04-26T13:08:55Z", "distanceToSplit": 15.45 } ], "64513872c3ab09659eb09683": [ { "time": "2020-04-26T14:50:30Z", "distanceToSplit": 28.16 }, { "time": "2020-04-26T14:50:35Z", "distanceToSplit": 2.91 } ] } }, { "id": "60a3b67914742230ef4a5be2", "importId": "UniqueImportId_3", "startNumber": "03", "name": "Leupold", "times": { "64513872c3ab09659eb09674": [ { "time": "2020-05-01T07:49:45Z", "distanceToSplit": 13.06 }, { "time": "2020-05-01T07:49:50Z", "distanceToSplit": 10.56 }, { "time": "2020-05-01T13:06:25Z", "distanceToSplit": 19.77 }, { "time": "2020-05-01T13:06:30Z", "distanceToSplit": 17.84 } ], "64513873368d2f24f3a5feb9": [ { "time": "2020-05-01T09:26:45Z", "distanceToSplit": 1.69 } ], "64513873a2c6e28dbe010405": [ { "time": "2020-05-01T10:24:35Z", "distanceToSplit": 12.15 }, { "time": "2020-05-01T10:24:40Z", "distanceToSplit": 22.72 } ], "64513874c3ab09659eb096b5": [ { "time": "2020-05-01T10:34:50Z", "distanceToSplit": 27.7 }, { "time": "2020-05-01T10:34:55Z", "distanceToSplit": 1.95 } ], "645138746451816d07b38788": [ { "time": "2020-05-01T11:24:30Z", "distanceToSplit": 18.56 }, { "time": "2020-05-01T11:24:35Z", "distanceToSplit": 10.39 }, { "time": "2020-05-01T11:24:40Z", "distanceToSplit": 22.24 } ], "6451387410e583b28d7167e6": [ { "time": "2020-05-01T11:31:30Z", "distanceToSplit": 29.7 }, { "time": "2020-05-01T11:31:35Z", "distanceToSplit": 10.6 }, { "time": "2020-05-01T11:31:40Z", "distanceToSplit": 5.61 }, { "time": "2020-05-01T11:31:45Z", "distanceToSplit": 22.52 } ], "64513872c3ab09659eb09683": [ { "time": "2020-05-01T13:06:15Z", "distanceToSplit": 11.25 }, { "time": "2020-05-01T13:06:20Z", "distanceToSplit": 25.62 } ] } } ] } ``` {% endcode %} #### Sample response with `id` of checkpoint Checkpoint "Bergwertung" \ [https://racemap.com/api/data/v1/60a3b443f096f800018add7c/times/**6451387410e583b28d7167e6**](https://racemap.com/api/data/v1/60a3b443f096f800018add7c/times/6451387410e583b28d7167e6) #### Times array with detection objects
FieldDescription [unit]Sample
idUnique Racemap ID of participant"6450e60747adaed475b48"
importIdUser-defined ID with imported participant data, Generic API (importId) or RACE|RESULT API (Id)"UniqueImportId_2"
startNumberBib number"02"
nameName"Jörg"
timeTimestamp of detection in UTC"2022-03-09T10:08:00.000Z"
distanceToSplitDistance [m] of detection from timekeeping point16.19
{% code expandable="true" %} ```javascript { "name": "Sample | 100km Duathlon", "location": "🇩🇪 Dresden", "startTime": "2020-04-25T06:00:00Z", "endTime": "2020-10-30T18:15:00Z", "timekeepingId": "6451387410e583b28d7167e6", "timekeepingName": "Bergwertung", "times": [ {}, { "id": "60a3b679147422b72a4a5be0", "importId": "UniqueImportId_2", "startNumber": "02", "name": "Jörg", "time": "2020-04-26T13:08:45Z", "distanceToSplit": 12.82 }, { "id": "60a3b679147422b72a4a5be0", "importId": "UniqueImportId_2", "startNumber": "02", "name": "Jörg", "time": "2020-04-26T13:08:50Z", "distanceToSplit": 4.25 }, { "id": "60a3b679147422b72a4a5be0", "importId": "UniqueImportId_2", "startNumber": "02", "name": "Jörg", "time": "2020-04-26T13:08:55Z", "distanceToSplit": 15.45 }, { "id": "60a3b67914742230ef4a5be2", "importId": "UniqueImportId_3", "startNumber": "03", "name": "Leupold", "time": "2020-05-01T11:31:30Z", "distanceToSplit": 29.7 }, { "id": "60a3b67914742230ef4a5be2", "importId": "UniqueImportId_3", "startNumber": "03", "name": "Leupold", "time": "2020-05-01T11:31:35Z", "distanceToSplit": 10.6 }, { "id": "60a3b67914742230ef4a5be2", "importId": "UniqueImportId_3", "startNumber": "03", "name": "Leupold", "time": "2020-05-01T11:31:40Z", "distanceToSplit": 5.61 }, { "id": "60a3b67914742230ef4a5be2", "importId": "UniqueImportId_3", "startNumber": "03", "name": "Leupold", "time": "2020-05-01T11:31:45Z", "distanceToSplit": 22.52 }, { "id": "60a3b679147422101b4a5be3", "importId": "UniqueImportId_4", "startNumber": "04", "name": " KRad", "time": "2020-05-02T10:41:35Z", "distanceToSplit": 17.72 }, { "id": "60a3b679147422101b4a5be3", "importId": "UniqueImportId_4", "startNumber": "04", "name": " KRad", "time": "2020-05-02T10:41:40Z", "distanceToSplit": 7.18 }, { "id": "60a3b679147422101b4a5be3", "importId": "UniqueImportId_4", "startNumber": "04", "name": " KRad", "time": "2020-05-02T10:41:45Z", "distanceToSplit": 11.5 }, { "id": "60a3b679147422101b4a5be3", "importId": "UniqueImportId_4", "startNumber": "04", "name": " KRad", "time": "2020-05-02T10:41:50Z", "distanceToSplit": 29.53 } ] } ``` {% endcode %} ### Export to RACE|RESULT RACE|RESULT event settings: Main Window, Simple API * Type: Custom * Details: rawdata/addmanual Settings create an API key to push external data to RACE|RESULT. The duration of the key is limited. Sample: ![](/files/-MjnFlci2mpv6r7LuI8N) Data from Racemap \*/times API need be transferred to RACE|RESULT API format, e.g. with a python script: * syntax: * timeOfDetections in seconds * sample: Using this format virtual detections are imported in RACE|RESULT one by one. ![](/files/-MjnII-YafvX3HzOHM3l) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.racemap.com/api/times.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.