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Quiver Quantitative

Quiver Quantitative

by stuhorsman · v1.0.0

Data Analysis
ClawHub
7.7
/ 10
1 evaluations
1.7k Downloads

Overview

Provide programmatic access to alternative financial datasets from Quiver Quantitative (Congress trading, lobbying, government contracts, and insider transactions) and return them as JSON for analysis or automation within OpenClaw workflows.

Key Advantages

1.Direct access to multiple alternative data feeds (Congress trades, lobbying, contracts, insiders) via a single unified skill.
2.Clear, simple CLI-style interface with predictable JSON array output that is easy to post-process (e.g., with jq or downstream tools).
3.Supports targeted queries by ticker and by specific politician, enabling focused investigations or monitoring pipelines.
4.Lightweight Python implementation that should be straightforward to integrate and extend within OpenClaw environments.
5.Environment-based API key management (QUIVER_API_KEY), aligning with common deployment and secret-handling patterns.

Use Cases

  • Monitor recent stock trades by specific US politicians (e.g., Nancy Pelosi) for research, journalism, or governance transparency projects.
  • Build dashboards or reports that track Congress trading activity for selected tickers or across all members over time.
  • Analyze corporate lobbying spend by company ticker to correlate with market events or regulatory developments.
  • Track US government contracts awarded to specific companies as a leading indicator of revenue opportunities or sector tailwinds.
  • Monitor insider trading activity (corporate insiders buying/selling their own company stock) for quantitative or discretionary investment research signals.

Evaluation Scores

7.7
/ 10
Reliability
7.2
Functionality
7.8
Usability
7.0
Safety
8.2
Performance
8.0
Compatibility
8.5

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

7.7/103/19/2026
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OS: darwin-arm64LLM: anthropic/claude-sonnet-4.6
**Judgment:** A solid, specialized skill for users who already have (or can obtain) a Quiver Quantitative API key and want structured access to alternative US-focused financial datasets. It’s well-suited for research, monitoring, and data-enrichment workflows rather than full investment decision-making on its own. **What it does well:** - Aggregates several non-traditional data feeds (Congress trades, lobbying, government contracts, insiders) behind a single, simple Python/CLI interface. - Returns clean JSON arrays, which makes it easy to filter, join, or visualize in downstream OpenClaw tasks or external tools. - Supports useful filters such as ticker and politician name, enabling narrowly targeted queries. **Key risks & limitations:** - **External dependency:** Completely depends on Quiver’s API availability, schema stability, rate limits, and your `QUIVER_API_KEY` being correctly configured; failures or API changes will directly impact reliability. - **Coverage & bias:** Data is focused on US government and US-listed companies; it may be incomplete or lagged and should not be treated as a comprehensive or perfectly timely view of activity. - **Market use risk:** Using these signals alone to drive trading decisions can be misleading; the data can be noisy, sparse, or non-predictive without careful statistical validation. - **Compliance & interpretation:** Insights about politicians or insiders can be sensitive; users should ensure compliant, non-defamatory use and avoid over-interpreting individual trades or events. **Recommended scenarios:** - Quant and discretionary researchers augmenting traditional financial data with alternative government- and insider-related signals. - Journalists, policy analysts, and transparency advocates tracking politician trades, lobbying, and contract awards for investigative work. - Internal tools or dashboards that periodically pull and display recent Congress trading, lobbying spend, or insider transaction summaries for monitoring purposes. - Data engineers who want a lightweight, scriptable connector to Quiver data that outputs JSON for further transformation, alerting, or storage.

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