Update dataset card

README.md

@@ -84,6 +84,8 @@ configs:
     data_files: '*/public-leaderboards.jsonl'
   - config_name: conferences
     data_files: '*/conferences.jsonl'
+  - config_name: model-deprecations
+    data_files: '*/model-deprecations.jsonl'
   - config_name: funding
     data_files: '*/funding.jsonl'
   - config_name: model-cards
@@ -154,6 +156,7 @@ Each daily snapshot lives in a `YYYY-MM-DD/` subfolder with one JSONL file per f
 | `benchmark-registry.jsonl` | ~24 | Benchmark catalog with active/saturated status. |
 | `public-leaderboards.jsonl` | ~20 | Pointers to every live public AI leaderboard. |
 | `conferences.jsonl` | ~18 | AI conferences (research, industry, developer) with dates. |
+| `model-deprecations.jsonl` | ~12 | Provider model retirement and deprecation calendar (OpenAI, Anthropic, Google, Cohere, etc). Each row: provider, model, status (announced / deprecated / sunsetted), announced/deprecation/sunset dates, recommended replacement model, source URL pointing to the provider's own announcement. |
 | `funding.jsonl` | ~21 | AI funding rounds catalog by stage and category. |
 | `model-cards.jsonl` | ~8 | Per-model system / safety / red-team document index. |
 | `ai-policy.jsonl` | ~10 | AI regulation tracker (EU AI Act, US executive orders, etc). |
@@ -171,6 +174,10 @@ Each daily snapshot lives in a `YYYY-MM-DD/` subfolder with one JSONL file per f
 
 ## Quick start
 
+The dataset is published in two formats. Pick the one that fits your stack.
+
+### Hugging Face `datasets` library (Python, JSONL on the `main` branch)
+
 ```python
 from datasets import load_dataset
 
@@ -179,6 +186,38 @@ news = load_dataset("tensorfeed/ai-ecosystem-daily", "news", split="train")
 
 # Model pricing time series (load all dates, filter by date column or filename)
 models = load_dataset("tensorfeed/ai-ecosystem-daily", "models", split="train")
+
+# Model deprecation calendar
+deprecations = load_dataset("tensorfeed/ai-ecosystem-daily", "model-deprecations", split="train")
+```
+
+### DuckDB (SQL directly against the Parquet branch, no Python deps)
+
+The same data is available as Parquet on the `refs/convert/parquet` branch, auto-generated by Hugging Face. DuckDB can query it directly with no install of `datasets`.
+
+```sql
+-- Latest deprecation announcements across all providers
+SELECT provider, model, status, deprecation_date, replacement
+FROM 'https://huggingface.co/datasets/tensorfeed/ai-ecosystem-daily/resolve/refs%2Fconvert%2Fparquet/model-deprecations/train/0000.parquet'
+ORDER BY deprecation_date DESC;
+```
+
+### Pandas (read Parquet directly)
+
+```python
+import pandas as pd
+
+url = "https://huggingface.co/datasets/tensorfeed/ai-ecosystem-daily/resolve/refs%2Fconvert%2Fparquet/news/train/0000.parquet"
+df = pd.read_parquet(url)
+```
+
+### ClickHouse (analytics workloads on the time-series feeds)
+
+```sql
+SELECT provider, AVG(latency_ms) AS avg_latency
+FROM url('https://huggingface.co/datasets/tensorfeed/ai-ecosystem-daily/resolve/refs%2Fconvert%2Fparquet/probe/train/0000.parquet', Parquet)
+GROUP BY provider
+ORDER BY avg_latency;
 ```
 
 ## Update cadence
@@ -191,7 +230,7 @@ Cannot be backfilled. Every day without a snapshot is a day of history lost.
 
 This dataset is released under TensorFeed's **inference-only** license. You may use it as input context for AI agents and LLM inference (RAG, evals, prompt context, agent tools). You may not use it as training data for foundation models without explicit written permission.
 
-Read the full Agent Fair-Trade Agreement at [tensorfeed.ai/agent-fair-trade](https://tensorfeed.ai/agent-fair-trade) for the rationale, including the receipt-signing infrastructure and machine-payable upgrade path for paid endpoints.
+The full Agent Fair-Trade Agreement (AFTA) v1.0 is published at [tensorfeed.ai/whitepaper](https://tensorfeed.ai/whitepaper) and the public-facing summary at [tensorfeed.ai/agent-fair-trade](https://tensorfeed.ai/agent-fair-trade). Both documents cover the rationale, the receipt-signing infrastructure, the federation pattern, and the machine-payable upgrade path for the live API tier.
 
 ## Live API