environment
Read-onlyIdempotent
Retrieve environmental and ESG data including carbon footprint, renewable energy, and ESG scores. Use tickers for company ratings or countries for country-level metrics.
Instructions
Environmental and ESG data. For ESG scores (E, S, G ratings) use tickers='AAPL'. For carbon footprint and renewable energy data use countries='United States' (also supports rolling=N and trailing=N smoothing/summation). This is the only tool that accepts BOTH tickers= and countries= depending on the indicator.
Available indicators: get_carbon_footprint, get_renewable_energy, get_esg_scores.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| lag | No | Number of periods to lag when computing growth rates. | |
| growth | No | Return period-over-period growth rates instead of absolute values. | |
| rolling | No | Rolling window size in number of periods. When set, the metric is computed over a smoothly overlapping trailing window across the full history (e.g. period='monthly' and rolling=6 gives a rolling 6-month value) instead of one value per period, or (for economics indicators) a simple moving average used to smooth the raw series. | |
| tickers | No | Comma-separated ticker symbols, e.g. 'AAPL,MSFT,GOOGL'. | |
| end_date | No | End of the date range in YYYY-MM-DD format. | 2026-07-14 |
| trailing | No | Trailing window size in number of periods. Sums the raw values over the trailing N periods (e.g. trailing=4 on quarterly data gives a trailing-4-quarter / TTM-style sum) instead of returning one value per period. | |
| countries | No | Comma-separated country names, e.g. 'United States,Germany,Japan'. | |
| indicator | Yes | Name of the specific metric to calculate, e.g. 'get_asset_turnover_ratio'. Required — omitting it returns the list of available indicators. | |
| quarterly | No | Return quarterly data instead of annual when True. | |
| start_date | No | Start of the date range in YYYY-MM-DD format. | 2021-07-15 |
| standardize | No | Return the Z-Score (standard score) instead of the raw values, i.e. how many standard deviations each value is from the mean of its own series. When combined with growth=True, the growth values are standardized instead of the raw values. | |
| show_columns | No | Comma-separated names to filter the output. For historical data use the key names visible in any response record (e.g. 'Close,Volume,Return'). For financial statements use the 'metric' field values from the response (e.g. 'Revenue,Net Income,EBITDA'). Call the tool once without this parameter to see all available names, then repeat with show_columns to reduce response size and token usage. | |
| benchmark_ticker | No | Ticker used as the market benchmark, e.g. 'SPY' or '^GSPC'. | SPY |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |