Verizon Communications Inc.
AI-native vector embeddings for Verizon Communications Inc. quarterly earnings calls
Ticker
VZ
Coverage
2020–present
Embedding dims
768
Model
gemini-embedding-2-preview
About VZ Earnings Embeddings
VectorFin provides vector embeddings for every Verizon Communications Inc. earnings call from 2020 through the present quarter. Each earnings call transcript is chunked into semantically coherent segments and vectorized using Google's gemini-embedding-2-preview model, producing 768-dimensional dense vectors optimized for cosine similarity search.
All data is bitemporal: every embedding chunk carries an effective_ts (when the earnings call occurred) and a knowledge_ts (when VectorFin ingested and vectorized the data). This enables point-in-time backtesting — query the data as it was known at any historical date.
Embedding data is updated within 24 hours of each earnings call. The full history is available via REST API (all plans) or as Apache Iceberg tables on GCS (Pro+ plans), queryable natively from Snowflake, BigQuery, or Databricks.
Common VZ use cases include quarter-over-quarter sentiment comparison, similarity search for analogous commentary at peers, and Retrieval-Augmented Generation (RAG) — grounding LLM answers about Verizon Communications Inc. in citable transcript chunks.
Available fiscal periods
Showing recent 8 quarters. 2020–present available via API (beta).
Access via API
# Fetch VZ embeddings for the latest quarter
curl https://api.vectorfinancials.com/v1/embeddings/VZ \
-H "X-API-Key: vf_sk_your_key_here" \
-G \
-d "fiscal_period=2024-Q4" \
-d "limit=10"
# Response schema
{
"data": [{
"ticker": "VZ",
"fiscal_period": "2024-Q4",
"chunk_idx": 0,
"text": "...",
"embedding": [0.023, -0.091, ...],
"effective_ts": "2025-01-30T00:00:00Z",
"knowledge_ts": "2025-01-31T06:00:00Z",
"model_version": "gemini-embedding-2-preview"
}],
"next_cursor": "..."
}Start using VZ embeddings today
Free tier includes top 100 tickers with 1,000 API calls/month.