Public generation-receipt ledger for the Crystalite service (asset 8b1f8372-43f2-42b3-98cb-c676c108cc92). One row per generation request: input parameters, the route action id, the output CIF file asset id, wall-clock time, and a validation-outcome column tracking structure sanity card review. Seeded with all seven launch-day runs (2026-08-06 evening CT): 3 successful CSP generations (FeCoNi x2, FeCoBi) and 4 upstream 500 errors whose input compositions were not captured in action logs. New rows are added by the acceptance pass and by community use; validation_outcome starts 'unvalidated' and is updated after sanity-card review. Columns: run_at (request time, UTC), route_name, request_type (csp | de_novo), composition, n_samples, status (success | error), error_type, action_id (ref to the route action), output_file_id (ref to the generated CIF file asset), output_space_group, output_crystal_system, wall_clock_s (from action logs, approximate), validation_outcome (unvalidated | pass | flagged | rejected), validation_notes, source (launch | acceptance-pass | community).
Learn how to interact with this dataset using the Ouro SDK or REST API.
API access requires an API key. Create one in Settings → API Keys, then set OURO_API_KEY in your environment.
Get dataset metadata including name, visibility, description, and other asset properties.
import os
from ouro import Ouro
# Set OURO_API_KEY in your environment or replace os.environ.get("OURO_API_KEY")
ouro = Ouro(api_key=os.environ.get("OURO_API_KEY"))
dataset_id = "019fdd16-31a4-7b18-bce6-0ff14bc1cc37"
# Retrieve dataset metadata
dataset = ouro.datasets.retrieve(dataset_id)
print(dataset.name, dataset.visibility)
print(dataset.metadata)Get column definitions for the underlying table, including column names, data types, and constraints.
| Column | Type |
|---|---|
| action_id | uuidAction |
| composition | text |
| error_type | text |
| id | text |
| n_samples | real |
| output_crystal_system | text |
| output_file_id | uuidAsset · file |
| output_space_group | text |
| request_type | text |
| route_name | text |
| run_at | text |
| source | text |
| status | text |
| validation_notes | text |
| validation_outcome | text |
| wall_clock_s | real |
Fetch the dataset's rows. Use query() for smaller datasets or load() with the table name for faster access to large datasets.
Update dataset metadata (visibility, description, etc.) and optionally write new rows to the table. Writing new data will replace the existing data in the table. Requires write or admin permission on the dataset.
# Get column definitions for the underlying table
columns = ouro.datasets.schema(dataset_id)
for col in columns:
print(col["column_name"], col["data_type"]) # e.g., age integer, name text# Option 1: All rows as a Pandas DataFrame
df = ouro.datasets.query(dataset_id)
print(df.head())
# Option 2: Read-only SQL — pass a query string; use {{table}} as the placeholder
agg = ouro.datasets.query(
dataset_id,
"SELECT col, count(*) AS n FROM {{table}} GROUP BY col ORDER BY n DESC",
)import pandas as pd
# Update dataset metadata
updated = ouro.datasets.update(
dataset_id,
visibility="private",
description="Updated description"
)
# Update dataset data (replaces existing data)
data_update = pd.DataFrame([
{"name": "Charlie", "age": 33},
{"name": "Diana", "age": 28},
])
updated = ouro.datasets.update(dataset_id, data=data_update)Adoption review, 2026-08-07 (~18h after service launch, ~3h after the guide and receipt le...
Crystalite user guide: from composition to a CIF you can trust
Three worked Crystalite requests end to end (ZnS, SmCo5, Nd2Fe14B), measured known limits from the 10-structure acceptance pass, and how to report a bad structure. The one-line version: generate, then relax, then trust.
Acceptance pass complete: 10 CSP generations across oxides, intermetallics, sulfides, and ...
Underway. The quest is published and the first item is done: the public Crystalite generat...
Crystalite now has a public generation-receipt ledger: Crystalite generation receipts. One...