hudson-labs.com valid
Hudson Labs
High-precision AI for public markets. Institutional-grade intelligence covering guidance, catalysts, accounting red flags, and financial drivers.
For agents: Hudson Labs: AI research terminal and screening for public markets, with forensic fraud-risk scores, earnings monitoring agents and market intelligence products
ai equity researchfinancial analysisfraud risk scoringearnings analysispublic markets
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T09:19:08.911Z. Cached copy · Source on hudson-labs.com
# Hudson Labs
> High-precision AI for public markets. Institutional-grade intelligence covering guidance, catalysts, accounting red flags, and financial drivers.
Hudson Labs is an AI-powered financial research platform built for institutional investors, corporate strategy teams, securities litigation firms, brokerage and banking teams, D&O insurers, and investor relations professionals. Founded in 2019, Hudson Labs was the first finance-specific software completely powered by language models. Backed by Y Combinator.
Trusted by institutional investors managing over $1 trillion in assets.
## Products
- [The Co-Analyst](https://www.hudson-labs.com/products#co-analyst): AI research terminal with the precision of a terminal and the adaptability of AI. Multi-period, multi-document results with complete auditability.
- [Market Intelligence](https://www.hudson-labs.com/products#market-intelligence): Next generation screening combining AI with fundamentals. AI-powered screening, peer comparisons, sector primers, and thematic deep dives.
- [Forensic Risk Assessment](https://www.hudson-labs.com/products#forensic): AI-driven forensic risk scores that predict the likelihood of fraud using unstructured data points like related party, accounting, and off-balance sheet risk.
- [Agents](https://www.hudson-labs.com/products#agents): Custom automations for earnings, research, and portfolio monitoring. Set up workflows that run on your schedule and deliver results directly to you.
- [Coverage Universe](https://www.hudson-labs.com/products#coverage): Comprehensive coverage across all U.S. issuers and ADRs — SEC filings, transcripts, investor decks, press releases, fundamental metrics, and consensus estimates sourced from S&P Market Intelligence.
## Solutions
- [Institutional Investing](https://www.hudson-labs.com/institutional-investing): Enhance idea velocity and deepen conviction. Get up to speed on new names in hours, cut earnings prep in half, automate research workflows.
- [Corporate Strategy](https://www.hudson-labs.com/corporate-strategy): Track competitors, customers, and market trends. Automate earnings prep and competitive intelligence.
- [Securities Law](https://www.hudson-labs.com/securities-law): Accelerate early-stage case review. Identify cases using price-decline triggers, locate corrective disclosures, predict fraud risk.
- [Brokerage & Banking](https://www.hudson-labs.com/brokerage-banking): Move from raw filings to polished reporting in minutes. Extract segment/KPI data, build models faster.
- [Public D&O Insurance](https://www.hudson-labs.com/insurance): Automate underwriting worksheets, predict fraud-related SCAs, prepare for management meetings.
- [Investor Relations](https://www.hudson-labs.com/investor-relations): Monitor peer disclosures, prepare for earnings, benchmark KPIs and guidance against peers.
## Pricing
- **Core**: $99/month (billed annually) or $119/month (billed monthly). 25 queries/day, full Co-Analyst access.
- **Instit
…
Related sites
Other listed sites in AI and machine learning. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | 70 | ✓ | ✓ | ||
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | 61 | ✓ | |||
| intellweb.ai | Intellweb | documentation Ecommerce Productivity +3 | US | 61 | ✓ | ✓ | |
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Cybersecurity +1 | 85 | ✓ | ✓ | ||
| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | 75 | ✓ | ✓ | ||
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
Machine-readable: GET /v1/resolve?q=hudson-labs.com · GET /v1/domain/hudson-labs.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage hudson-labs.com, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for hudson-labs.com:
1. POST https://agentwebmap.com/v1/sites/hudson-labs.com/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://hudson-labs.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/hudson-labs.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/hudson-labs.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.