{"openapi":"3.1.0","info":{"title":"WattTime Data API","version":"V3","x-logo":{"url":"WattTime-logo-2023-black-1920px_wpad.png","backgroundColor":"#F6F6F6","altText":"WattTime Logo"}},"servers":[{"url":"https://api.watttime.org","description":"WattTime Base API"}],"tags":[{"name":"Introduction","description":"The WattTime API provides access to real-time, forecast, and historical data for electric grids around the world, including marginal emissions data. For the different signals we provide, see the [data signals page](https://www.watttime.org/data-signals).\n\nIf you’re curious about what you can do with this data, [see the solutions we support](https://www.watttime.org/), where you can dive into the various use cases. A common example of how to use the MOER value is to schedule load at the cleanest times of day.\n\nYou can access the API by sending standard HTTP requests to the endpoints listed below. The `/v3/historical`, `/v3/forecast`, and `/v3/maps` endpoints are only available to subscribers. However, if you don’t yet have a subscription, you can preview all of the available region-specific data by providing `CAISO_NORTH` as the region for your requests. A comparison of the different available data plans can be found [here](https://www.watttime.org/docs-dev/data-plans/).\n\nPython3 example code is provided in the right pane of this documentation which shows how to interact with the API endpoints. You can kick start your development by using our [python client/SDK](https://github.com/WattTime/watttime-python-client).\n\n## Restrictions\n\nThere is a strict limit on the rate at which you may query the API. From any user, we allow a maximum of 3,000 requests in any 5-minute rolling window (an average of 10 requests per second). There is also a lower limit specific to the `/login` endpoint, which is 100 requests in 5 minutes. If requests exceed this, an `HTTP 429` error code is returned.\n\n**The API rate limit is a total of 3,000 requests in 5 minutes (an average of 10 per second). The limit for /login is 100 requests in 5 minutes.**\n\n## API Status Page and User Alerts\n\nWattTime publishes the current and historical uptime on the [API Status Page](https://status.watttime.org/). This page shows upcoming scheduled maintenance and provides updates during outages or maintenance. Users should subscribe to alerts via the status page to be kept up to date. This page is our method of communicating updates to our users related to maintenance, outages, and announcements related to version upgrades. Follow these instructions to subscribe to alerts:\n1. Navigate to the [WattTime API Status Page](https://status.watttime.org/)\n1. Click the 'subscribe to updates' button in the top right corner\n1. Select your preferred means of notification (email, SMS, Slack, webhook)\n1. Enter your contact information (this will not be used for any other purpose)\n\n## Best Practices for API Usage\nIf using this API to control many smart devices in different locations, we suggest the following protocol. For each device location, use GPS lat/lon to query `/v3/region-from-loc` in order to determine the region for the desired `signal_type`. Then, query the other endpoints (e.g. `/v3/forecast`, `/v3/historical`, etc.) with the resulting region to receive signal data.\n\nBecause grid region boundaries are occasionally updated, it is important to re-query `/v3/region-from-loc` at least once a month to ensure devices are receiving the signal corresponding to their location. The `/v3/maps` endpoint provides a GeoJSON that can be used for offline geocoding. The GeoJSON file includes a `last_updated` field that changes whenever the grid regions change.\n","x-displayName":"Introduction"},{"name":"Authentication","description":"To start using the API, first register for an account by using the `/register` endpoint.  Then use the `/login` endpoint to obtain an access token. You can then use your token to access the remainder of our endpoints. You must include your token in an authorization (bearer) header in subsequent requests to retrieve data. Your access token will expire after 30 minutes and you'll need to sign in again to obtain a new one. **Subsequent requests with an invalid, missing, or expired token will return an `HTTP 401` error**.","x-displayName":"Authentication"},{"name":"GET Account Access","x-displayName":"GET Account Access"},{"name":"GET Regions and Maps","x-displayName":"GET Regions and Maps"},{"name":"GET Forecast","x-displayName":"GET Forecast"},{"name":"GET Historical","x-displayName":"GET Historical"},{"name":"GET Index","x-displayName":"GET Index"},{"name":"Data Model Versioning","description":"WattTime uses empirical models to estimate emissions from electricity grids. The models are either regressions trained on historical public data sources (MOER and Health Damage) or calculations directly from reported source data (AOER). Occasionally, we update our models and use a data model versioning system to label which model was used for any data returned via API. Everything in this section is about changes to data delivered through the API, not about changes to the API schema itself (changes to the API happen far less often and are communicated separately). There are two ways a model can be updated - read on to understand the difference.\n\n## Model Retrain\nElectric grids change over time as new power plants or transmission lines are built, old power plants are retired, or new markets are formed - all of these changes affect how a grid operates and responds to loads. WattTime will periodically retrain its models on newer training data to better reflect the current infrastructure and how it operates.\n\n## New Model Release\nWattTime's research team also develops new methods to improve emissions rate estimates, which are deployed by releasing new models. For example, starting in model `2023-03-01`, we upgraded our MOER model to better identify renewable curtailment using a supervised ML approach with ground-truth data. Typically, when we release a new model with methodology improvements, it is also trained on more recent data than the previous model (which reflects changes in the electric grid since the last training).\n\n## Navigating Model Transitions\nThe API endpoint `/my-access` (described in detail in the ['GET Account Access'](#tag/GET-Account-Access) section) is a helpful resource for understanding the metadata for the different models available in the API for each signal.\n\nFor model retraining, the model date label does not change, but the training start and end dates are updated in `/my-access`. For users, your API data requests do not need to change, and the metadata in the API data response will remain the same. The range and distribution of values may differ after retraining (e.g., slightly lower overall when coal generation shifts to gas), but these changes tend to be less significant than those after model upgrades.\n\nWhen we release a new model to generate data for the API, it has a new model date label. Normally, the newest model is used to return data from the API when the optional ‘model’ parameter is not specified. However, during a model transition, there is an initial period when the new model is available as a preview, so users can view its data before it becomes the default. Then the new model becomes the default, and both the newest and prior models generate data simultaneously for a short period before the prior model is discontinued and stops generating new data. When the new model is released, new data is created going forward, and also historical data is backfilled. We backfill at least 2 years of backfill or back to the beginning of the period for which the training data is applicable. When the prior model is discontinued, the existing historical data is still available for the period prior to discontinuation.\n\nSee below for an example model transition timeline (the durations may vary, but this sequence applies during model transitions).\n\n![Model release 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)\n","x-displayName":"Data Model Versioning"},{"name":"Technical Support","description":"For technical questions related to this API and real-time emissions data, please contact support@WattTime.org\n\nIf you are experiencing an outage, please check the WattTime API Status Page to get the status of known outages, and if none are shown, please proceed to contact support@WattTime.org\n\n✅ **For the fastest resolution of your issue, please also include the following along with your inquiry:**\n* HTTP error codes received\n* The code snippet for your query/API request\n* Any relevant screen capture images\n* A short description of what you are trying to accomplish\n* Is this the first attempt? Or, a new error for something that used to work?\n","x-displayName":"Technical Support"}],"paths":{"/register":{"post":{"tags":["Authentication"],"summary":"Register New User","description":"Provide basic information to self-register for an account.\n\n**Note:** The `/register` endpoint accepts the parameters in the body of the request. It does not accept them in the URL as a query string, because that isn't as secure. The input parameters should be included as a JSON object (in the body), as shown in the sample code on the right.","operationId":"post_username_register_post","parameters":[{"name":"username","in":"query","required":true,"schema":{"type":"string","description":"name of user that will be used in subsequent calls","examples":["freddo"],"title":"Username"},"description":"name of user that will be used in subsequent calls"},{"name":"password","in":"query","required":true,"schema":{"type":"string","description":"user password. Password must be at least 8 characters, with at least 1 of each alpha, number and special characters.","examples":["the_frog"],"title":"Password"},"description":"user password. Password must be at least 8 characters, with at least 1 of each alpha, number and special characters."},{"name":"email","in":"query","required":true,"schema":{"type":"string","description":"valid email address. The email address used to register will only be used for communication regarding API outages and updates. The email address will not be shared or used for any other promotional purpose. For others in your organization who would like these updates, they can subscribe to our Status Page.","examples":["freddo@frog.org"],"format":"email","title":"Email"},"description":"valid email address. The email address used to register will only be used for communication regarding API outages and updates. The email address will not be shared or used for any other promotional purpose. For others in your organization who would like these updates, they can subscribe to our Status Page."},{"name":"org","in":"query","required":false,"schema":{"anyOf":[{"type":"string"},{"type":"null"}],"description":"organization name","examples":["freds world"],"title":"Org"},"description":"organization name"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/RegisterResponse"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"x-codeSamples":[{"lang":"Python","source":"\n# To register, use the code below. Please note that for these code examples we are using filler values for username\n# (freddo), password (the_frog), email (freddo@frog.org), org (freds world) and you should replace each if you are\n# copying and pasting this code.\n\nimport requests\nregister_url = 'https://api.watttime.org/register'\nparams = {'username': 'freddo',\n         'password': 'the_frog',\n         'email': 'freddo@frog.org',\n         'org': 'freds world'}\nrsp = requests.post(register_url, json=params)\nprint(rsp.text)\n","label":"Python"}]}},"/login":{"get":{"tags":["Authentication"],"summary":"Login & Obtain Token","description":"Use HTTP basic auth to exchange username and password for an access token. Remember that you need to include this token in an authorization bearer header for all subsequent data calls. This header has the form: `Authorization: Bearer <your_token>`\n\n**Note:** Token expires after 30 minutes. If a data call returns `HTTP 401` error code, you will need to call `/login` again to receive a new token.","operationId":"get_token_login_get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/LoginResponse"}}}}},"x-codeSamples":[{"lang":"Python","source":"\n# To login and obtain an access token, use this code:\n\nimport requests\nfrom requests.auth import HTTPBasicAuth\nlogin_url = 'https://api.watttime.org/login'\nrsp = requests.get(login_url, auth=HTTPBasicAuth('freddo', 'the_frog'))\nTOKEN = rsp.json()['token']\nprint(rsp.json())\n","label":"Python"}]}},"/password":{"get":{"tags":["Authentication"],"summary":"Password Reset","description":"Provide your `username` to request an email be sent to you with password reset instructions.","operationId":"get_password_password_get","parameters":[{"name":"username","in":"query","required":true,"schema":{"type":"string","description":"name of user that will be used in subsequent calls","examples":["freddo"],"title":"Username"},"description":"name of user that will be used in subsequent calls"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/PasswordResponse"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"x-codeSamples":[{"lang":"Python","source":"\n# To reset your password, use this code:\n\nimport requests\npassword_url = 'https://api.watttime.org/password/?username=freddo'\nrsp = requests.get(password_url)\nprint(rsp.json())\n","label":"Python"}]}},"/v3/region-from-loc":{"get":{"tags":["GET Regions and Maps"],"summary":"Determine Grid Region","description":"Emissions intensity varies by location, specifically the location where an energy-using device is interconnected to the grid. This endpoint, provided with latitude and longitude parameters, returns the details of the grid region serving that location, if known, or a Coordinates not found error if the point lies outside of known/covered regions.","operationId":"get_reg_loc_v3_region_from_loc_get","parameters":[{"name":"signal_type","in":"query","required":true,"schema":{"anyOf":[{"$ref":"#/components/schemas/V3Signals"},{"$ref":"#/components/schemas/V3HistoricalSignals"}],"description":"signal_type for which to look up region","examples":["co2_moer"],"title":"Signal Type"},"description":"signal_type for which to look up region"},{"name":"latitude","in":"query","required":true,"schema":{"type":"number","description":"Latitude of desired location","examples":[-72.519],"title":"Latitude"},"description":"Latitude of desired location"},{"name":"longitude","in":"query","required":true,"schema":{"type":"number","description":"Longitude of desired location","examples":[42.372],"title":"Longitude"},"description":"Longitude of desired location"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/RegionLocResponse"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"x-codeSamples":[{"lang":"Python","source":"\nimport requests\n\nurl = \"https://api.watttime.org/v3/region-from-loc\"\n\n# Provide your TOKEN here, see https://docs.watttime.org/#tag/Authentication/operation/get_token_login_get for more information\nTOKEN = \"\"\nheaders = {\"Authorization\": f\"Bearer {TOKEN}\"}\nparams = {\"latitude\": \"42.372\", \"longitude\": \"-72.519\", \"signal_type\": \"co2_moer\"}\nresponse = requests.get(url, headers=headers, params=params)\nresponse.raise_for_status()\nprint(response.json())\n","label":"Python"}]}},"/v3/maps":{"get":{"tags":["GET Regions and Maps"],"summary":"Grid Region Map Geometry","description":"Provides a geojson of the grid region boundary for all regions that WattTime covers globally. Check when the geojson was last updated using the `last_updated` value in the `meta` object of the geojson. Access to this endpoint is restricted to customers with ANALYST or PRO subscriptions. The response is a geojson response, that is a Feature Collection with properties that describe each region, and multipolygon geometry made up of coordinates which define the boundary for each region. The `meta` object contains the date-time that the geojson was last updated and the associated `signal_type`.","operationId":"get_v3_map_v3_maps_get","parameters":[{"name":"signal_type","in":"query","required":true,"schema":{"anyOf":[{"$ref":"#/components/schemas/V3Signals"},{"$ref":"#/components/schemas/V3HistoricalSignals"},{}],"description":"Use to select any available `signal_type` which is authorized for your account","examples":["co2_moer"],"title":"Signal Type"},"description":"Use to select any available `signal_type` which is authorized for your account"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/Map"}}}},"400":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"}}},"description":"Bad Request"},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"x-codeSamples":[{"lang":"Python","source":"import requests\n\nurl = \"https://api.watttime.org/v3/maps\"\n\n# Provide your TOKEN here, see https://docs.watttime.org/#tag/Authentication/operation/get_token_login_get for more information\nTOKEN = \"\"\nheaders = {\"Authorization\": f\"Bearer {TOKEN}\"}\nparams = {\n    \"signal_type\": \"co2_moer\",\n}\nresponse = requests.get(url, headers=headers, params=params)\nresponse.raise_for_status()\nprint(response.json())\n","label":"Python"}]}},"/v3/signal-index":{"get":{"tags":["GET Index"],"summary":"Get the current CO2 MOER index","description":"Returns the current index value for the specified `region` for the `co2_moer` signal type. 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Forecasts are\ngenerated periodically (e.g. at 5-minute frequency, this frequency is described in the `generated_at_period_seconds`\nmetadata), and there is a `data` list made up of `point_time` and `value` pairs in the forecast horizon (e.g. a\n24-hr forecast horizon with 5-min frequency results in 288 values). 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The response contains a `data`\nlist made up of `generated_at` and `forecast` pairs that cover the requested time period. The `forecast` list here\nincludes all the values that were generated at the `generated_at` time.`start` and `end` are used to specify which\n`generated_at` forecasts will be returned. 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Setting this parameter to `0` will return a single value of the most recently produced forecast"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/V3ExtendedForecastResponse"}}}},"400":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"}}},"description":"Bad Request"},"403":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"}}},"description":"Forbidden"},"422":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/ErrorResponse"}}},"description":"Unprocessable Entity"}},"x-codeSamples":[{"lang":"Python","source":"import requests\n\nurl = \"https://api.watttime.org/v3/forecast/historical\"\n\n# Provide your TOKEN here, see https://docs.watttime.org/#tag/Authentication/operation/get_token_login_get for more information\nTOKEN = \"\"\nheaders = {\"Authorization\": f\"Bearer {TOKEN}\"}\nparams = {\n    \"region\": \"CAISO_NORTH\",\n    \"start\": \"2023-07-15T00:00Z\",\n    \"end\": \"2023-07-15T01:00Z\",\n    \"signal_type\": \"co2_moer\",\n}\nresponse = requests.get(url, headers=headers, params=params)\nresponse.raise_for_status()\nprint(response.json())\n","label":"Python"}]}},"/v3/historical":{"get":{"tags":["GET Historical"],"summary":"Get a range of historical signal data","description":"Returns signal data (e.g. CO₂ MOER in lbs/MWh) for the specified `region`, `signal_type`, and time period. 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