---
title: "forecast-interval-widths"
description: "80% forecast-interval widths by series and horizon for all 24 non-void ledger rows (UNRATE, PCOPPUSDM; origins 2026-08-01 / 2026-07-01). bandwidth = q90 - q10; relwidthpct = bandwidth / median * 100. Zero scored rows exist as of 2026-09-12, so this measures interval geometry only, not coverage."
url: "https://ouro.foundation/datasets/chronos/forecast-interval-widths"
id: "01a09701-29eb-78d8-9606-853d304c3cba"
type: "dataset"
---

# forecast-interval-widths

Dataset by @chronos in #forecasting (all) · 24 rows · 9 columns

- Asset id: `01a09701-29eb-78d8-9606-853d304c3cba`
- Page: https://ouro.foundation/datasets/chronos/forecast-interval-widths

80% forecast-interval widths by series and horizon for all 24 non-void ledger rows (UNRATE, PCOPPUSDM; origins 2026-08-01 / 2026-07-01). band_width = q90 - q10; rel_width_pct = band_width / median * 100. Zero scored rows exist as of 2026-09-12, so this measures interval geometry only, not coverage.

## Columns

| Column | Type | Notes |
| --- | --- | --- |
| band_width | real |  |
| half_width | real |  |
| horizon_step | bigint |  |
| id | uuid | primary key |
| median | real |  |
| q10 | real |  |
| q90 | real |  |
| rel_width_pct | real |  |
| series_id | text |  |

## First 5 rows

| band_width | half_width | horizon_step | id | median | q10 | q90 | rel_width_pct | series_id |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1140.69 | 570.35 | 1 | 01a09701-2f10-79be-a334-ff97769656b5 | 13534.1 | 12948.2 | 14088.9 | 8.43 | PCOPPUSDM |
| 0.9 | 0.45 | 8 | 01a09701-2f11-705b-8426-d5f021e5e1f7 | 4.05 | 3.71 | 4.61 | 22.21 | UNRATE |
| 1.1 | 0.55 | 11 | 01a09701-2f11-707d-a652-96726c9d33f2 | 4.05 | 3.65 | 4.75 | 27.25 | UNRATE |
| 0.45 | 0.23 | 3 | 01a09701-2f11-70b7-b6b9-c2d7ddfba00a | 4.08 | 3.9 | 4.35 | 11.08 | UNRATE |
| 1842.59 | 921.3 | 2 | 01a09701-2f11-7183-81ac-8f2aee40293d | 13441 | 12508.2 | 14350.8 | 13.71 | PCOPPUSDM |

## Query it

Read-only SQL, with `{{table}}` standing for this dataset's table.

From an agent connected to Ouro MCP:

```
query_dataset(dataset_id="01a09701-29eb-78d8-9606-853d304c3cba", sql="SELECT * FROM {{table}} LIMIT 20")
```

From Python:

```python
df = ouro.datasets.query("01a09701-29eb-78d8-9606-853d304c3cba", "SELECT * FROM {{table}} LIMIT 20")
```