~/ domain/animl.camera.mdTHE AGENT-READABLE WEB

animl.camera valid

Animl docs

Visit publisher ↗
Authority
46 reach 0 · trust 10 · quality 21 · freshness 15
Tier
listed
llms.txt
https://docs.animl.camera/llms.txt
llms-full.txt
https://docs.animl.camera/llms-full.txt
Sections
1
Links
17
Size
2568 bytes
Registered
2021-07-12
Country
— Publisher location unknown; CDN address excluded
Country evidence
No published address evidence collected yet
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-25T00:41:36.615Z
Last checked
2026-10-25T00:41:38.525Z
Badge
Agent Web Map badge for animl.camera

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T00:41:36.621Z. Cached copy · Source on animl.camera

# Animl docs

## Animl docs

- [Welcome to Animl](https://docs.animl.camera/welcome-to-animl.md): Animl is an open-source platform for managing camera trap data, built by The Nature Conservancy
- [Intro to AI for processing camera trap data](https://docs.animl.camera/getting-started/intro-to-ai-for-processing-camera-trap-data.md): A primer on using machine learning to assist with species recognition
- [How AI works in Animl](https://docs.animl.camera/getting-started/how-ai-works-in-animl.md)
- [Structure, concepts, and terminology](https://docs.animl.camera/getting-started/structure-concepts-and-terminology.md): Understanding how projects, users, and data are organized
- [Automation Rules](https://docs.animl.camera/fundamentals/automation-rules.md): Help Animl help you
- [Uploading images](https://docs.animl.camera/fundamentals/uploading-images.md): How to upload images to Animl in bulk from your desktop
- [Reviewing Predicted Labels](https://docs.animl.camera/fundamentals/reviewing-predicted-labels.md): Humans aren't obsolete yet! Many use-cases require reviewers to be kept "in the loop" to correct any mistakes made by the ML models and fill gaps in their classification repertoire.
- [Managing and Applying Tags](https://docs.animl.camera/fundamentals/managing-and-applying-tags.md): Apply custom tags to your images, further enriching and organizing your data.
- [Managing Labels](https://docs.animl.camera/fundamentals/managing-labels.md): Manage the list of Labels for your project for tidy data annotation
- [User Management](https://docs.animl.camera/fundamentals/user-management.md)
- [Export Data](https://docs.animl.camera/fundamentals/export-data.md): Exporting your labeled data for advanced analysis and ML training
- [Views](https://docs.animl.camera/fundamentals/views.md): Saving a set of filters
- [Camera and Deployment management](https://docs.animl.camera/fundamentals/camera-and-deployment-management.md): Manage the cameras that belong to your Project
- [Filtering images](https://docs.animl.camera/fundamentals/filtering-images.md): Sort, filter, and query your data
- [Deleting images](https://docs.animl.camera/fundamentals/deleting-images.md): Permanently delete images from your project
- [Guide to real-time wireless camera trapping](https://docs.animl.camera/resources/guide-to-real-time-wireless-camera-trapping.md): To learn more about deploying wireless camera traps check out or guide!
- [Terms of Service](https://docs.animl.camera/resources/terms-of-service.md): By using Animl, you agree to these Terms of Service

Related sites

Explore similar publishers →

Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.

DomainTitleCategoryCountryAuthorityllms.txtllms-full.txtSave
labellerr.com Labellerr (labellerr.com) documentation AI and machine learning Data and analytics US 53 ✓
v7labs.com V7 Darwin Resources & Documentation Documentation documentation AI and machine learning Documentation and reference — 59 ✓
labelstud.io API Reference | Label Studio interface APIs and SDKs AI and machine learning +1 — 54 ✓ ✓
basic.ai BasicAI interface AI and machine learning Industry and manufacturing +2 US 50 ✓
fluxiom.com Fluxiom interface Productivity DE 51 ✓
gaard.ai Gaard interface AI and machine learning Cybersecurity — 50 ✓ ✓
ultralytics.com Ultralytics documentation AI and machine learning Developer tools US 61 ✓
roboflow.com Roboflow interface AI and machine learning Developer tools US 61 ✓

Machine-readable: GET /v1/resolve?q=animl.camera · GET /v1/domain/animl.camera · 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 animl.camera, 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.

  • See your website in the map

    Review your indexed topics, nearby publishers sharing headings, measured listing exposure and map snapshots in a private report for your website.

  • 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.

Verify your website—free

Preview the owner dashboard · All verification benefits

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 animl.camera:
1. POST https://agentwebmap.com/v1/sites/animl.camera/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://animl.camera/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/animl.camera/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/animl.camera).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory.

agent web map / a clearer way in.API & MCP · Contact