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Scalar Field
AI Tool Scorecard

Scalar Field

An AI agentic trading desk that deploys strategy agents with isolated capital allocations, scheduled autonomous execution, and multi-source market intelligence spanning insider transactions, congressional disclosures, and institutional holdings.

FreemiumAI Data Miningscalarfield.io
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Published on Jul 6, 2026

Benchmarks

How Scalar Field scores on agent readiness and AI visibility AI Readiness and GEO Score are platform assessments generated by VibeLaunch after submission.

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Decision summary

Quantitative traders and self-directed investors seeking automated multi-strategy execution with alternative data integration

Automated multi-strategy portfolio management with scheduled execution, alternative data signals, and tokenized equity access

Best for

  • Automated quantitative trading with alternative data
  • Institutional holdings mirroring and 13F tracking
  • Event-driven strategy deployment with scheduled execution

Watch out for

  • Independent performance verification is not publicly available
  • Specific brokerage venues and fee structures are not disclosed in documentation
  • Pre-built strategies are vendor-operated with limited transparency into underlying models

Overview

Scalar Field is an AI agentic trading desk that lets users deploy strategy agents — each with its own cash allocation, isolated position book, and target-based order execution. Rather than offering a single algorithmic model, the platform hosts a catalog of pre-built agentic ETF strategies that span quantitative momentum, fundamental event-driven logic, and institutional mirroring.

How Strategy Agents Work

Each agent operates autonomously on a scheduled cadence. The SPY Heat Meter Momentum strategy executes every weekday at 10:00 AM ET based on momentum signals. The GPT-5.4 Multi-Signal S&P 500 Portfolio rebalances daily at 11:00 AM ET, ingesting technical indicators, real-time news sentiment, and macroeconomic data to construct a conviction-weighted portfolio. Agents maintain isolated books — meaning one strategy's positions and cash do not commingle with another's — and reconcile against target allocations automatically.

Market Data and Intelligence

Scalar Field integrates several alternative data feeds beyond standard price and volume. These include near real-time SEC Form 3/4/5 corporate insider transactions covering over 5,300 tickers, congressional trading disclosures under the STOCK Act, and institutional holdings from quarterly 13F filings. The platform also supports tokenized pre-IPO names and 48 tokenized public equities traded via Jupiter on Solana, alongside full OHLCV and live pricing.

Strategy Catalog

The pre-built strategy library includes several distinctive approaches. The Jane Street 13F Top 20 Follower reconstructs a portfolio from the firm's publicly disclosed quarterly holdings, selecting the top 20 U.S. stocks and ETFs by reported market value. The India-born CEO Succession Strategy invests in U.S.-listed companies when a U.S.-born CEO is replaced by an India-born CEO — a transition the platform's research associates with strong historical returns. The Situational Awareness LP tracker mirrors Leopold Aschenbrenner's AGI-focused fund based on its latest 13F disclosures.

Considerations

All strategies are vendor-operated, and independent performance verification is not publicly available. The platform's brokerage support is referenced in documentation but specific venue names are not disclosed. Pricing is mentioned but details remain behind a dedicated page. As a platform operating at the intersection of AI and active trading, users should evaluate strategy logic and risk parameters carefully before allocating capital.

For traders exploring AI-driven approaches to AI Data Mining, Scalar Field represents a distinct model — pre-built agentic strategies with embedded alternative data — compared to general-purpose automation tools like Browse AI or data platforms such as ASINCrate.

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Score anatomy

The dimensions behind the editorial score, each with its judgment note. AI Readiness and GEO Score are platform assessments generated by VibeLaunch after submission.

Information quality

Data types are well-specified — SEC Form 3/4/5, STOCK Act disclosures, 13F filings — and coverage metrics are provided (5,300+ tickers). However, data latency, accuracy, and sourcing methodology are not independently verified.

6.5
Verify

Documentation describes near real-time insider transactions, congressional disclosures, and institutional holdings with specific form references and ticker coverage counts.

Ease of use

Pre-built strategies lower the barrier to entry, and scheduled execution removes manual monitoring. However, undocumented brokerage support, opaque pricing, and Solana ecosystem requirements for tokenized equities add friction.

6.0
Verify

Strategies execute on fixed schedules without user intervention; documentation references brokerages and pricing but provides no specific names or fee tables.

Feature depth

The combination of isolated agent architecture, multi-strategy catalog, alternative data feeds, and tokenized equity access represents meaningful depth. Five distinct pre-built strategies and three alternative data categories exceed typical single-purpose trading tools.

7.2
Contextual

Platform documents five named agentic ETF strategies, three distinct alternative data categories, tokenized pre-IPO and public equity trading, and point-in-time research data.

Workflow fit

Scheduled autonomous execution, per-agent isolation, and point-in-time research data align well with systematic trading workflows. The absence of API documentation or custom strategy authoring limits integration with existing quant stacks.

7.0
Contextual

Strategies execute on fixed weekday schedules with automated reconciliation; agents maintain independent books; point-in-time data supports backtesting workflows.

Reliability

No independent performance audit, no publicly documented uptime SLA, no disaster recovery provisions, and no regulatory registration details. All strategy returns are vendor-reported, and execution depends entirely on vendor-operated infrastructure.

4.8
Verify

Platform publishes strategy descriptions and performance references but provides no third-party verification, compliance registrations, or operational reliability commitments in public documentation.

Value

Pricing is referenced but fee structures, credit costs, and trading commissions are not publicly disclosed. Without transparent cost data, value relative to alternatives cannot be assessed.

4.5
Verify

Documentation directs users to a separate pricing page for trading fees and credit pricing but provides no figures in public technical documentation.

Scores indicate documented product strength, not a hands-on guarantee.

Agent Readiness

How well an agent can understand this product and reconstruct a documented workflow from its official information.

Automated agent-readiness assessment of https://scalarfield.io/: 4 of 22 checks verified across 2 fetched pages. No substantial machine interface is documented — agents can understand and cite the product but not operate it. Absent: agent_tooling_artifacts, api_reference, authentication, request_examples, response_examples, error_documentation.

Readiness dimensions

DimensionScore
Documentation quality50
Execution verifiability0
Machine interface0
Project clarity75
Resource discoverability100
Workflow completeness25

What helps agents

  • docs: verified during this run
  • llms txt: verified during this run
  • sitemap: verified during this run
  • quickstart: verified during this run

Where agents are blocked

  • No agent instruction files, code-distribution commands, or named slash-command skills found across fetched pages.
  • No api reference signal matched across 2 fetched pages.
  • No authentication signal matched across 2 fetched pages.
  • No request examples signal matched across 2 fetched pages.
  • No response examples signal matched across 2 fetched pages.
  • No error documentation signal matched across 2 fetched pages.

Evidence check

Public claims about this tool, each tagged with a verification status and its cited source.

ai-agentic-trading4
scalarfield.ioVerifiedChecked Jul 16, 2026

Scalar Field is an AI agentic trading desk platform that enables automated strategy research, execution, and position management.

Each strategy agent operates with its own cash allocation, isolated position book, target-based order execution, reconciliation, and independent position management.

The platform provides point-in-time market data enabling timestamp-aligned historical research for strategy development and backtesting.

Platform documentation references supported brokerages and a dedicated pricing page but does not publicly disclose specific venue names, fee structures, or credit pricing in documentation.

https://scalarfield.io/ai-agentic-trading
scalarfield.io3
scalarfield.ioVerifiedChecked Aug 30, 2026

Scalar Field is an AI agentic trading desk platform that enables automated strategy research, execution, and position management.

The platform supports trading tokenized pre-IPO names via Jupiter on Solana, plus 48 tokenized public equities with full OHLCV and live pricing.

The entry page was fetched and analyzed for machine-interface signals (title, headings, developer links, keyword probes).

https://scalarfield.io/
docs/market-data/overview3
scalarfield.ioVerifiedChecked Jul 16, 2026

Market data includes near real-time SEC Form 3/4/5 corporate insider transactions covering over 5,300 tickers derived from EDGAR filings.

Market data includes near real-time securities transaction disclosures by U.S. Senators and House Representatives under the STOCK Act.

Market data includes institutional holdings from quarterly SEC Form 13F filings.

https://scalarfield.io/docs/market-data/overview
agentic-etfs2
scalarfield.ioVerifiedChecked Jul 16, 2026

Scalar Field offers a catalog of pre-built agentic ETF strategies including SPY Heat Meter Momentum, India-born CEO Succession, Jane Street 13F Top 20 Follower, GPT-5.4 Multi-Signal S&P 500, and Situational Awareness LP portfolio tracker.

Pre-built strategies execute on fixed weekday schedules — SPY Heat Meter Momentum at 10:00 AM ET and GPT-5.4 Multi-Signal S&P 500 rebalancing at 11:00 AM ET — with the latter ingesting technical indicators, real-time news sentiment, and macroeconomic data.

https://scalarfield.io/agentic-etfs
agentic-etfs/india-born-ceo-succession-strategy2
scalarfield.ioVerifiedChecked Jul 16, 2026

Scalar Field offers a catalog of pre-built agentic ETF strategies including SPY Heat Meter Momentum, India-born CEO Succession, Jane Street 13F Top 20 Follower, GPT-5.4 Multi-Signal S&P 500, and Situational Awareness LP portfolio tracker.

The India-born CEO Succession Strategy invests in U.S.-listed companies when a U.S.-born CEO is replaced by an India-born CEO — a transition the platform associates with historically strong long-term returns.

https://scalarfield.io/agentic-etfs/india-born-ceo-succession-strategy
agentic-etfs/jane-street-13f-top-20-follower2
scalarfield.ioVerifiedChecked Jul 16, 2026

Scalar Field offers a catalog of pre-built agentic ETF strategies including SPY Heat Meter Momentum, India-born CEO Succession, Jane Street 13F Top 20 Follower, GPT-5.4 Multi-Signal S&P 500, and Situational Awareness LP portfolio tracker.

The Jane Street 13F Top 20 Follower strategy reconstructs a portfolio from Jane Street's publicly disclosed quarterly holdings, selecting the top 20 U.S. stocks and ETFs by reported market value and excluding options positions.

https://scalarfield.io/agentic-etfs/jane-street-13f-top-20-follower
agentic-etfs/open-ai-gpt-5-4-multi-signal-s-p-500-portfolio2
scalarfield.ioVerifiedChecked Jul 16, 2026

Scalar Field offers a catalog of pre-built agentic ETF strategies including SPY Heat Meter Momentum, India-born CEO Succession, Jane Street 13F Top 20 Follower, GPT-5.4 Multi-Signal S&P 500, and Situational Awareness LP portfolio tracker.

Pre-built strategies execute on fixed weekday schedules — SPY Heat Meter Momentum at 10:00 AM ET and GPT-5.4 Multi-Signal S&P 500 rebalancing at 11:00 AM ET — with the latter ingesting technical indicators, real-time news sentiment, and macroeconomic data.

https://scalarfield.io/agentic-etfs/open-ai-gpt-5-4-multi-signal-s-p-500-portfolio
https://scalarfield.io/llms.txt1
scalarfield.ioVerifiedChecked Aug 30, 2026

llms.txt is published at the site root and readable.

https://scalarfield.io/llms.txt
https://scalarfield.io/sitemap.xml1
scalarfield.ioVerifiedChecked Aug 30, 2026

sitemap.xml is reachable and lists site pages.

https://scalarfield.io/sitemap.xml
Introduction - Scalar Field1
scalarfield.ioVerifiedChecked Aug 30, 2026

A documentation surface is reachable at https://scalarfield.io/docs/introduction.

https://scalarfield.io/docs/introduction
agentic-etfs/situational-awareness-lp-leopold-aschenbrenner-portfolio-tracker1
scalarfield.ioVerifiedChecked Jul 16, 2026

Scalar Field offers a catalog of pre-built agentic ETF strategies including SPY Heat Meter Momentum, India-born CEO Succession, Jane Street 13F Top 20 Follower, GPT-5.4 Multi-Signal S&P 500, and Situational Awareness LP portfolio tracker.

https://scalarfield.io/agentic-etfs/situational-awareness-lp-leopold-aschenbrenner-portfolio-tracker
docs/trading/overview1
scalarfield.ioVerifiedChecked Jul 16, 2026

Platform documentation references supported brokerages and a dedicated pricing page but does not publicly disclose specific venue names, fee structures, or credit pricing in documentation.

https://scalarfield.io/docs/trading/overview

Decision desk

The questions most worth resolving before you rely on the product or visit its official site.

Scalar Field is an AI agentic trading desk that lets users deploy strategy agents — each with its own cash allocation and isolated position book — across a catalog of pre-built agentic ETFs. It integrates alternative data including SEC insider transactions, congressional trading activity, and institutional 13F filings.

Each agent operates autonomously with isolated capital and positions, executing on a fixed weekday schedule. Agents reconcile against target allocations automatically and do not commingle funds with other strategies. Users select from pre-built strategies rather than coding custom logic.

The platform provides near real-time SEC Form 3/4/5 corporate insider transactions covering 5,300+ tickers, U.S. congressional trading disclosures under the STOCK Act, institutional holdings from quarterly 13F filings, and point-in-time historical data for research and backtesting.

Agentic ETFs are pre-built AI-managed portfolios that execute autonomously on fixed schedules. Examples include the SPY Heat Meter Momentum Strategy, Jane Street 13F Top 20 Follower, GPT-5.4 Multi-Signal S&P 500 Portfolio, and India-born CEO Succession Strategy.

Unlike robo-advisors that primarily allocate across broad asset classes, Scalar Field deploys isolated strategy agents with distinct investment theses — from momentum signals to insider-transaction tracking. Each agent has independent capital and execution logic, and the platform integrates alternative data sources not typically available in robo-advisory products.

Scalar Field's documentation references supported brokerages but does not publicly name specific venues. Users should contact the platform directly to confirm compatibility with their existing brokerage accounts before committing capital.

Verify on official site

Continue exploring

Different paths for a similar job

These tools were linked as editorial alternatives with a documented reason for the relationship.

01ASINCrate

ASINCrate

Provides alternative data feeds and market intelligence that overlap with Scalar Field's insider-transaction and institutional-holdings data sources, though without the agentic trading execution layer.

View record
02Browse AI

Browse AI

Offers general-purpose web automation that traders could use to scrape and monitor market data sources, but lacks Scalar Field's integrated strategy execution, position management, and pre-built agentic ETF infrastructure.

View record
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