Signal Cat

Proprietary Datasets Built from Primary Sources

Jobs & labor market signals, SEC 606 order routing, and more — collected directly from source systems. Point-in-time accurate, entity-mapped, delivered via Snowflake and S3.

Built by engineers from SIG and institutional data teams

10+ years building production data systems

Direct-from-source collection

Snowflake & S3 delivery

Our Products

Jobs & Labor Market Data

Job posting snapshots collected 4x daily directly from employer career pages. AI-classified into 7 role categories. A leading indicator for Non-Farm Payrolls, sector hiring momentum, and company-level workforce expansion.

1,500+ companies | 4x daily updates | History from 2024

Last updated: Mar 23, 2026

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SEC 606 Order Routing Data

Unique dataset

Structured, time-series data on broker-dealer order routing, payment for order flow, and venue selection. The first commercial dataset of its kind.

15 brokers | Quarterly updates | History from 2020

Last updated: Q4 2025

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Why Signal Cat

Primary source methodology

Every dataset is collected directly from the systems and filings that generate the data. No aggregation, no third-party feeds.

Point-in-time accuracy

Every observation is timestamped as-collected. No backfill, no revision. Your backtests reflect what was actually available.

Institutional delivery

Snowflake data share, S3, or flat file. Entity-mapped to standard identifiers. No ETL required on your end.

Data delivered via

Snowflake
AWS S3

DDQ available upon request

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NDA available upon request.