humanloop.com valid
Humanloop
This file provides guidelines for AI language models interacting with our content
For agents: Humanloop site; llms.txt only states guidelines for AI language models interacting with its content. Product details not given in the excerpt.
- Authority
- 47 reach 11 · trust 5 · quality 16 · freshness 15
- Tier
- listed
- llms.txt
- https://humanloop.com/llms.txt
- Sections
- 6
- Links
- 0
- Size
- 1125 bytes
- Popularity rank
- #185753
- Country
- United States
- For agents
- Informational: content or services for people, nothing to operate
- Audience
- mixed · en
- First seen
- 2026-10-19T10:41:12.001Z
- Last checked
- 2026-10-20T08:41:06.592Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T16:15:47.118Z. Cached copy · Source on humanloop.com
# Humanloop
This file provides guidelines for AI language models interacting with our content
## Website Description
Humanloop provides an enterprise platform for managing and evaluating Large Language Model (LLM) applications. The platform enables teams to develop prompts, run automated evaluations, and monitor AI system performance in production. It serves as a central hub for companies to build, test and deploy LLM-based products with quality controls and observability.
## Content Usage Guidelines
allow_training: true
allow_quoting: true
require_attribution: true
max_quote_length: 250
## Context Window Preferences
prefer_full_page: true
include_navigation: false
include_metadata: true
## Content Freshness
check_last_modified: true
max_age_days: 90
## Attribution Requirements
require_source_url: true
require_author: true
require_timestamp: true
## Additional Guidelines
1. Always check content freshness before using in responses
2. Respect max_quote_length when citing content
3. Include proper attribution as specified
4. Consider full page context when relevant
5. Verify content is publicly accessibleMachine-readable: GET /v1/resolve?q=humanloop.com · GET /v1/domain/humanloop.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
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2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://humanloop.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/humanloop.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/humanloop.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.