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        "author": "Prevedere, Inc.",
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        "description": "# prevedere-api\n\nprevedere-api is a simple API for making HTTP requests to the Prevedere application. Requires an API key.\nFor full documentation, go to the [Prevedere Swagger API GUI](https://api.prevedere.com/).\n\n# Installation\n`pip install prevedere-api`\n\n# Use\n\n## Authentication\nThere is a file called `prevedere_api.ini.example` that can be used to store your API key. To use it, make a copy of the file, remove `.example` from the filename, and replace the API key in the file with your own. If you cannot find the file, initializing `prevedere.Api()` will produce the expected location of the .ini file.\nOnce completed, you will no longer have to enter in your API key when creating a connection to the Prevedere API.\n```\nfrom prevedere import Api\np = Api()\n```\n\n## Endpoints\n- `indicator`: returns basic information about an indicator.\n- `indicator_series`: returns the data for an indicator.\n- `correlation`: calculates Pearson's r and other statistics at different offsets between an endogenous and exogenous indicator.\n- `raw_model`: returns all information about a forecast model.\n- `forecast`: returns historical fit and forecasted values of a forecast model.\n- `workbench`: returns the indicators used in a workbench.\n\n## Example\n```\nimport prevedere\n\napi_key = \"xyz123\"\nprovider = \"provider_a\"\nprovider_id = \"a123\"\n\np = prevedere.Api(api_key)\np.indicator_series(provider, provider_id)\n```\n\nTODO:\n- Example dataset to play with, especially for uploading data\n- Add documentation for each function\n\n",
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