Agent Ready HTML

betterstackdata.com llms.txt

In short

betterstackdata.com serves a 9.1 KB llms.txt with 11 H2 sections and 63 links, graded B on the llmstxt.org structure (5 of 6 checks). It lacks a blockquote summary. The home page does not link it, so an agent that does not guess paths will not find it. An llms-full.txt is served too. Read 4 November 2026.

llms.txt 9.1 KB, 242 lines

# The AI SRE observability stack

30x cheaper than Datadog. Predictable pricing.  
Exceptional customer support.

Datadog bill too high? Migrate today, the rest of your contract is on us.  
Migration assistance and bespoke onboarding included. [Book a consultation](https://calendly.com/betterstack/consultation-migrating-from-datadog)

[eBPF-based service map](/tracing.md) [Log management](/log-management.md) [OpenTelemetry-native tracing](/tracing.md#otel) [Infrastructure monitoring](/infrastructure-monitoring.md) [AI-native error tracking](/error-tracking.md) [Incident management](/incident-management.md) [Status page](/status-page.md) [Agentic AI SRE](/tracing.md#sre) [Resolve incidents in Slack or Teams](/incident-management.md#slack)

## At a fraction of your current costs

Get an unrivaled price-to-performance ratio. Forget sampling and ingest all your data or decrease your costs by 80x.

Ingest up to 80x more data with the same budget, or save up to 98% of your costs.

| Provider | 1 TB traces + 1 TB logs + 1 TB metrics per month |
| --- | --- |
| Datadog | approx. $56,774 per month |
| Better Stack | $687 per month |

_An estimate only. Assumes annual payments, European data location, 1 responder with a Tera bundle, the average event size of 1 kB. Further assumes Datadog's $0.1 per ingested GB of spans & logs, and $2.5/million indexed spans & logs for 30 days._

[Explore pricing](/pricing.md#logs)

## AI SRE

[Explore AI SRE](/ai-sre.md)

### [[…] MCP server](https://betterstack.com/demos/uptime-api/#mcp-server)

Integrate your logs, metrics, traces, and errors into your existing LLM  
workflows with a top tier MCP server.

### [Get an AI SRE](/ai-sre.md#agent)

Claude Code-like UI with the knowledge of your infrastructure.

### [Smart incident merging](/incident-management.md#ai-features)

10 incidents created at the same time? Acknowledge them with a single tap and keep your phone from ringing while fixing the issue.

### [Explain with AI](/incident-management.md#ai-features)

Analyze MTR, trace route, SSL certificates or connection errors.

### [Linear tickets suggested by AI](/incident-management.md#ai-features)

Downtime? Create Linear tickets to fix the root cause using AI-based  
suggestions with a single tap.

### [AI written post-mortems](/incident-management.md#ai-features)

Get an automated post-mortem based on the incident timeline and Slack.

## Tracing

[Explore tracing](/tracing.md)

### [eBPF-based service map](/tracing.md#otel)

See network flows, auto-instrument databases, and track SLOs.

### [Instrument clusters with OpenTelemetry with no code change](/tracing.md#ebpf)

Gather traces, logs, and metrics using eBPF and OpenTelemetry. Remotely monitor collector’s throughput and adjust sampling, compression, and batching as needed.

### [Explore with "bubble up"](/tracing.md)

Investigate slow requests visually with drag & drop to find root cause.

First 70 of 242 lines. 1 span shown as […] because the words or characters in them are rejected by this site's own style rules; the live file has them.

Parse graded B, 5 of 6

file: https://betterstackdata.com/llms.txt

The AI SRE observability stack

No blockquote summary.

11 sections, 63 links, no Optional section.

Ora's cached score: not scored (read 5 November 2026).

The parse

betterstackdata.com lists 63 links: 59 point at betterstackdata.com or a relative path, 4 point elsewhere. The hosts it links most: betterstack.com (3), calendly.com (1).

H2 sectionLinks
At a fraction of your current costs1
AI SRE7
Tracing6
Incident management4
Uptime monitoring5
Log management7
Infrastructure monitoring5
Error tracking6
Real user monitoring7
Status page5
Happy customers, growing market presence0

Grade against the llmstxt.org structure

The file passes 5 of 6 checks and fails 1: has a blockquote summary under the h1. 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.

CheckResultDetail
Starts with an H1 naming the site or projectPassH1: The AI SRE observability stack
Has a blockquote summary under the H1FailNo blockquote summary before the first H2.
Has at least one H2 section that lists linksPass11 H2 sections, 10 with links.
At least 80 percent of links point at the same sitePass59 of 63 links stay on betterstackdata.com (94 percent).
Under 100 KBPass9275 bytes as served.
Plain markdown, no HTMLPassNo HTML document markers in the body.

Ora's cached score

Not scored by Ora. GET ora.ai/api/score/betterstackdata.com 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 betterstackdata.com 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. An llms-full.txt is served at the same root.

How it compares

At 9.1 KB the file is larger than 56 percent of the 2,529 plain-text llms.txt files in this edition, and its 63 links put it ahead of 67 percent of them on link count. The home page declares no generator. Size bucket: 2 to 10 KB. Tranco rank 3,169. Category: Top 10,000, no category.

Live file: https://betterstackdata.com/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

  1. betterstackdata.com llms.txt https://betterstackdata.com/llms.txt, read 4 November 2026
  2. llms.txt proposal (llmstxt.org) https://llmstxt.org/, read 4 November 2026
  3. Tranco list 746WX (crawl universe) https://tranco-list.eu/list/746WX, read 4 November 2026
  4. Ora: AgentReady launch post (the 86 percent finding) https://ora.ai/blog/agentready-launch, read 4 November 2026
  5. 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