> For the complete documentation index, see [llms.txt](https://docs.racemap.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.racemap.com/api/times.md). # \*/times, reads and raw data {% hint style="info" %} The \*/times API generates a [detection](/glossary.md#read) 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**](/glossary.md#read) with virtual timekeeping points (geofence) and with geolocations of participants. No timing hardware, no transponders. * [**Passings**](/glossary.md#read) **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](/glossary.md#read) 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 objects6450e60747adaed475b484b4
#### 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 This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://docs.racemap.com/api/times.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.