Get a time series

Get the time series of an indicator for one place, oldest to newest, from one source so the points are comparable. Use it for trends: "evolution of the CPI by month", "population of Mataró since 2015". Example: {"indicator": "cpi_annual_change", "place": "España", "from": "2023-01"}. Returns {indicator, place, frequency, points: [[period, value], ...], total_points, truncated?, flags?: {period: status}, gaps?, gap_notes?, source, other_frequencies?, longer_history?, note?, projections_available?}. gaps lists periods the source did not publish; gap_notes gives the publisher's reason when known. Projections (for example population to 2050) are never mixed into points. Pass include_projections: true to get them in a separate projections block {label, vintage, points, source}; always say a projected figure is a projection. Every plan gets the full history. One call returns up to 5,000 points: the latest ones, or the first ones from "from" when you pass it. truncated says when the series was cut; pass from and to to page through it. transform works as in get_value, on every point: {"indicator": "registered_unemployment", "place": "España", "from": "2023-01", "transform": "yoy"}, {"indicator": "unemployment_rate", "place": "Texas", "transform": "rolling_mean", "window": 3}. points hold the results; point_inputs[period] lists the [role, period, value] inputs of each point; transform.inputs names the series behind each role with its source; transform.gaps lists the periods that could not be computed and why. Not combinable with include_projections. With as_of the points are the series as Invokely held it then, plus vintages {period: {version, known_since}}, revised_later {period: current value} for points changed since, vintage_coverage_starts and not_on_record (periods whose value then was not kept). Projections are never returned with as_of.