sardine.ai llms.txt
In short
sardine.ai serves a 8.9 KB llms.txt with 15 H2 sections and 61 links, graded A on the llmstxt.org structure (6 of 6 checks). It passes every check. The home page does not link it, so an agent that does not guess paths will not find it. No llms-full.txt was found. Read 4 November 2026.
llms.txt 8.9 KB, 120 lines
# sardine.ai
> Sardine is an AI risk platform for financial institutions, fintechs, and merchants that uses device intelligence and behavior biometrics to detect and stop fraud, money laundering, and compliance risks in real time.
## Discovery Files
- [Full Page Index](https://www.sardine.ai/llms-full.txt): Complete list of all crawlable pages.
- [Deep Context](https://www.sardine.ai/llms-context.md): Detailed topical and structural overview of this site.
## Markdown for agents
Every content page has a Markdown twin at the same URL with `.md` appended, served as
`text/markdown` with no page chrome. Append `.md` to any page URL:
- [Home](https://www.sardine.ai/index.md)
- [About](https://www.sardine.ai/about.md)
- [Blog](https://www.sardine.ai/blog.md)
- [Customers](https://www.sardine.ai/customers.md)
Article and detail pages follow the same rule, e.g.
`https://www.sardine.ai/blog/<slug>.md`, `https://www.sardine.ai/learn/<term>.md`.
Each file's YAML frontmatter carries `source_page` and `canonical` links back to the
human page. English only for now.
Generated: 2026-10-15
## Overview
- [Home](https://www.sardine.ai/): Agentic financial crime platform for fraud prevention and AML.
## Blog
- [Blog](https://www.sardine.ai/blog): Articles on fraud, payments, risk, and AI innovations.
- [Sardine Makes Instant Ach Funding Available For Metamask Users In The Usa](https://www.sardine.ai/blog/sardine-makes-instant-ach-funding-available-for-metamask-users-in-the-usa): Announcement of instant ACH funding for MetaMask users in USA.
- [When Fraud Comes Texting](https://www.sardine.ai/blog/when-fraud-comes-texting): Discussion on fraud occurring through text messaging.
- [The Alternative To High Decline Rates In Fintech And Crypto Wallets](https://www.sardine.ai/blog/the-alternative-to-high-decline-rates-in-fintech-and-crypto-wallets): Strategies to reduce high decline rates in fintech and crypto wallets.
- [Free Trial Abuse Compute Cost](https://www.sardine.ai/blog/free-trial-abuse-compute-cost): How free trial abuse exploits tokens, credits, and models.
- [Soc2 For Startups Tutorial Tips](https://www.sardine.ai/blog/soc2-for-startups-tutorial-tips): Guide and tips for SOC2 compliance tailored to startups.
- [Agentic Frontier Ai Fraud Detection](https://www.sardine.ai/blog/agentic-frontier-ai-fraud-detection): Insights on agentic AI applied to fraud detection.
- [Real Time Ai And Machine Learning For Transaction Monitoring](https://www.sardine.ai/blog/real-time-ai-and-machine-learning-for-transaction-monitoring): Using real-time AI and machine learning for transaction monitoring.
## About
- [About](https://www.sardine.ai/about): Information about Sardine’s mission and trusted platform users.
## Contact
- [Contact](https://www.sardine.ai/contact): Contact page to book a demo for Sardine's platform.
## Customers
- [Customers](https://www.sardine.ai/customers): Profiles of companies using Sardine's solutions for scaling.
- [Raise](https://www.sardine.ai/customers/raise): Customer case study or profile: Raise.
- [Prezzee](https://www.sardine.ai/customers/prezzee): Customer case study or profile: Prezzee.
- [Seatgeek](https://www.sardine.ai/customers/seatgeek): Customer case study or profile: SeatGeek.
- [529 Plan Administrator](https://www.sardine.ai/customers/529-plan-administrator): Customer case study or profile: 529 Plan Administrator.
- [Leading U S Neobank Busts Laundering Ring Spanning 3 000 Accounts](https://www.sardine.ai/customers/leading-u-s-neobank-busts-laundering-ring-spanning-3-000-accounts): Case study on a neobank halting a large laundering ring.
- [Rockwallet](https://www.sardine.ai/customers/rockwallet): Customer case study or profile: Rockwallet.
- [Asoview](https://www.sardine.ai/customers/asoview): Customer case study or profile: Asoview.
## Events
- [Events](https://www.sardine.ai/events): Details of upcoming and past events featuring Sardine.
- [Fis Emerald 2026](https://www.sardine.ai/events/fis-emerald-2026): Details on Sardine’s participation in FIS Emerald 2026 event.
- [Aws Summit Washington Dc 2026](https://www.sardine.ai/events/aws-summit-washington-dc-2026): Information about Sardine at AWS Summit Washington DC 2026.
- [Fintech Nerdcon](https://www.sardine.ai/events/fintech-nerdcon): Event details for FinTech NerdCon featuring Sardine.
- [Abu Dhabi Finance Week](https://www.sardine.ai/events/abu-dhabi-finance-week): Participation details in Abu Dhabi Finance Week event.
- [Mrc San Diego](https://www.sardine.ai/events/mrc-san-diego): Information on Sardine’s MRC San Diego event presence.
- [Govramp Cyber Summit](https://www.sardine.ai/events/govramp-cyber-summit): Details about Sardine attending GovRAMP Cyber Summit.
- [Safeguard Ai Deepdive Retreat](https://www.sardine.ai/events/safeguard-ai-deepdive-retreat): Information on the Safeguard AI DeepDive Retreat event.
First 70 of 120 lines.
Parse graded A, 6 of 6
file: https://sardine.ai/llms.txt
sardine.ai
Sardine is an AI risk platform for financial institutions, fintechs, and merchants that uses device intelligence and behavior biometrics to detect and stop fraud, money laundering, and compliance risks in real time.
15 sections, 61 links, no Optional section.
Ora's cached score: not scored (read 5 November 2026).
The parse
sardine.ai lists 61 links: 61 point at sardine.ai or a relative path, 0 point elsewhere. The hosts it links most: sardine.ai (61).
| H2 section | Links |
|---|---|
| Discovery Files | 2 |
| Markdown for agents | 4 |
| Overview | 1 |
| Blog | 8 |
| About | 1 |
| Contact | 1 |
| Customers | 8 |
| Events | 8 |
| Whitepapers | 1 |
| Engineering | 8 |
| Media | 8 |
| Tools | 1 |
| Learn | 1 |
| Global Fraud Aml Regulations | 1 |
| Authors | 8 |
Grade against the llmstxt.org structure
The file passes all six checks. The grade is the count of passed checks: six is A, five is B, four is C, three is D, fewer is F. It measures structure only. Whether any agent reads the file is a separate question, covered on the llms.txt reference.
| Check | Result | Detail |
|---|---|---|
| Starts with an H1 naming the site or project | Pass | H1: sardine.ai |
| Has a blockquote summary under the H1 | Pass | Blockquote summary found. |
| Has at least one H2 section that lists links | Pass | 15 H2 sections, 15 with links. |
| At least 80 percent of links point at the same site | Pass | 61 of 61 links stay on sardine.ai (100 percent). |
| Under 100 KB | Pass | 9153 bytes as served. |
| Plain markdown, no HTML | Pass | No HTML document markers in the body. |
Ora's cached score
Not scored by Ora. GET ora.ai/api/score/sardine.ai answered 404 DOMAIN_NOT_SCANNED on 5 November 2026, so Ora holds no cached score for this domain. This site asked for a cached score only and never requested a scan. A scan by the site's owner would add one.
Linking and the companion file
The home page of sardine.ai does not link the file in its HTML. Ora's lab found (2026-10-19) that 86 percent of llms.txt fetches by agents arrived through a link, so an unlinked file is mostly a file nobody opens. No llms-full.txt was found at the same root.
How it compares
At 8.9 KB the file is larger than 55 percent of the 2,529 plain-text llms.txt files in this edition, and its 61 links put it ahead of 66 percent of them on link count. The home page declares no generator. Size bucket: 2 to 10 KB. Tranco rank 2,973. Category: Top 10,000, no category.
Live file: https://sardine.ai/llms.txt. Read 4 November 2026. If the file has since changed or gone, the live URL is the authority; this page records what the crawl read on that date.
Sources
- sardine.ai llms.txt https://sardine.ai/llms.txt, read 4 November 2026
- llms.txt proposal (llmstxt.org) https://llmstxt.org/, read 4 November 2026
- Tranco list 746WX (crawl universe) https://tranco-list.eu/list/746WX, read 4 November 2026
- Ora: AgentReady launch post (the 86 percent finding) https://ora.ai/blog/agentready-launch, read 4 November 2026
- Ora llms.txt (GET /api/score/{domain} looks up a cached score) https://ora.ai/llms.txt, read 5 November 2026
Last reviewed 5 November 2026