environment
Retrieves ESG scores, carbon footprint, renewable energy, carbon prices, and climate scenario data by ticker or country to support environmental risk and sustainability analysis.
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. get_carbon_price returns the EU ETS carbon price (EEX primary auctions of EU emission allowances, euro per tonne of CO2, daily from 2020, no key and no countries needed), period='daily', 'weekly' or 'monthly'. get_climate_scenario returns NGFS climate scenario paths (Phase 5, yearly 2022-2050, around fifty countries and regions, no key): variable='gdp'|'inflation'|'long_term_interest_rate'|'long_term_real_interest_rate'|'policy_rate'|'unemployment_rate'|'equity_prices'|'effective_exchange_rate'|'oil_price'|'gas_price'|'coal_price'|'carbon_price' (carbon price per model region to 2100), scenario='Net Zero 2050'|'Below 2°C'|'Low demand'|'Delayed transition'|'Nationally Determined Contributions (NDCs)'|'Current Policies'|'Fragmented World'|'Baseline', model='REMIND-MAgPIE'|'GCAM'|'MESSAGEix-GLOBIOM', risk='combined'|'transition'|'physical', deviation=true for the deviation from the baseline; countries= optional.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| lag | No | Number of periods to lag when computing growth rates. | |
| risk | No | "combined", "transition" or "physical". Current Policies has physical risk only, which is also its combined risk. | combined |
| limit | No | The rows to return, like head and tail: 5 for the first five, -5 for the last five (the most recent of a time series). A table with its periods as columns (financial statements, ratios) keeps its first or last periods instead. For ETF holdings the largest (or, negative, the smallest) by weight, and for a list (e.g. news or a screener) its length. | |
| model | No | The integrated assessment model behind the scenario: "REMIND-MAgPIE", "GCAM" or "MESSAGEix-GLOBIOM". | REMIND-MAgPIE |
| growth | No | Return period-over-period growth rates instead of absolute values. | |
| period | No | Observation frequency, e.g. 'daily', 'weekly', 'monthly', 'quarterly', or 'annual' (supported values differ per method). | daily |
| 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. | 2026-10-27 |
| scenario | No | "Net Zero 2050", "Below 2°C", "Low demand", "Delayed transition", "Nationally Determined Contributions (NDCs)", "Current Policies", "Fragmented World" or "Baseline". | Net Zero 2050 |
| 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. | |
| variable | No | The variable: "gdp", "inflation", "long_term_interest_rate", "long_term_real_interest_rate", "policy_rate", "unemployment_rate", "equity_prices", "effective_exchange_rate", "domestic_demand", "exports", "imports", "oil_price", "gas_price", "coal_price" or "carbon_price" (units above). | long_term_interest_rate |
| countries | No | Country names, comma-separated or as a list, e.g. 'United States,Germany,Japan'. | |
| deviation | No | Whether to return the deviation from the baseline instead of the level. | |
| indicator | Yes | Name of the specific metric to calculate, one of the listed values. Required — search_metrics finds the indicator (and its tool) for a metric by name. | |
| quarterly | No | Return quarterly data instead of annual when True. | |
| start_date | No | Start of the date range in YYYY-MM-DD format. | 2021-10-28 |
| 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
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |