Refresh funding divergence dataset card

README.md

@@ -4,11 +4,14 @@ pretty_name: Chainticks Funding Divergence
 tags:
 - finance
 - crypto
+- data-analysis
 - parquet
 - duckdb
 - pandas
 - polars
 - agent-friendly
+task_categories:
+- tabular-regression
 configs:
 - config_name: default
   data_files:
@@ -20,6 +23,13 @@ configs:
 
 Derived cross-venue funding-rate divergence rows built only from publishable inputs.
 
+## Current Scope
+
+- **Coverage:** Derived funding-rate spread rows from publishable source inputs.
+- **Best for:** Funding spread scouting, carry hypothesis generation, and agent-readable examples of derived cross-venue features.
+- **Cadence:** append-only partitions, normally refreshed by the Chainticks nightly publisher.
+- **Timestamps:** UTC ISO-8601 strings when available. Null timestamp fields mean the source event did not include a timestamp at collection time.
+
 ```python
 import pandas as pd
 
@@ -42,6 +52,10 @@ LATEST_DATE.txt
 
 Rows must have `source_kind` in `['derived']`. Chainticks does not publish venue REST/API resale data in this dataset.
 
+## Known Limitations
+
+This feed is optional and currently sparse. Treat it as a derived signal sample until more venues and rows are published.
+
 ## Agent Prompt Snippet
 
 Use this dataset as append-only market context. Read `LATEST_DATE.txt`, inspect `_schema.json`, then load the relevant Parquet partition. Treat timestamps as UTC and preserve `source_kind` in downstream analysis.

_manifest.json

@@ -3,7 +3,7 @@
   "files": [
     "spreads/date=2026-05-10/part-0000.parquet"
   ],
-  "generated_at": "2026-05-11T09:00:24.558224+00:00",
+  "generated_at": "2026-05-11T12:09:01.807397+00:00",
   "public_source_kinds": [
     "derived"
   ],

spreads/date=2026-05-10/part-0000.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5517fff9709e13a927c364ec112a2d90aba23646a9f3c91f50ee1167af826a94
+oid sha256:b084a40956cff5560a5324c48bb522149e6f555f9b65640624d458c5af119d50
 size 3529