devera.ai valid
Devera — AI-Powered Product Carbon Footprint Calculator
Devera automates Life Cycle Assessment (LCA) following ISO 14040/44 using AI and verified emission factor databases (Ecoinvent, AGRIBALYSE, Base IMPACTS, DEFRA, INCI).
For agents: AI-powered product carbon footprint calculator automating ISO 14040/44 life cycle assessment with Ecoinvent and other emission databases, plus public benchmarks
product carbon footprintlife cycle assessmentlcaiso 14040sustainability
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T18:41:16.921Z. Cached copy · Source on devera.ai
# Devera — AI-Powered Product Carbon Footprint Calculator
> Devera automates Life Cycle Assessment (LCA) following ISO 14040/44 using AI and verified emission factor databases (Ecoinvent, AGRIBALYSE, Base IMPACTS, DEFRA, INCI).
## Product
- [Product Carbon Footprint Calculator](https://devera.ai/product-carbon-footprint/): Calculate your product's carbon footprint with AI-powered LCA in minutes
- [Impact Score & Benchmarking](https://devera.ai/features/benchmark/): A-E rating system with Monte Carlo analysis and EPD comparison
- [Automated Data Extraction](https://devera.ai/features/automated-extraction/): AI extracts product data from URLs, documents, or catalogs
- [Scope 3 Supplier Emissions](https://devera.ai/scope-3-supplier-emissions/): Track and measure supplier-level Scope 3 emissions
- [Export Reports](https://devera.ai/features/export/): PDF, Excel, and CSV exports in EN/ES/DE/FR
- [API Access](https://devera.ai/features/api/): REST API for programmatic carbon footprint calculation
- [Pricing](https://devera.ai/pricing/): Credits-based pricing starting at EUR 49 for 10 credits
## Methodology
- [How Devera Performs LCA](https://devera.ai/methodology/): Cradle-to-grave LCA methodology, databases used, and ISO compliance
- [FAQ](https://devera.ai/faq/): Common questions about LCA, carbon footprint measurement, Impact Scores, and Devera
## Industry Benchmarks (Public Data)
- [Carbon Footprint Benchmarks](https://devera.ai/benchmarks/): Real LCA benchmark data for product categories — Monte Carlo analysis, ISO 14040/44
- [Carbon Footprint of Body Cream](https://devera.ai/benchmarks/carbon-footprint-of-a-body-cream/): Median 2.503 kg CO₂e per kg, from 10,000 Monte Carlo simulations.
- [Carbon Footprint of Brick](https://devera.ai/benchmarks/carbon-footprint-of-a-brick/): Median 0.977 kg CO₂e per kg, from 10,000 Monte Carlo simulations.
- [Carbon Footprint of Car Tire](https://devera.ai/benchmarks/carbon-footprint-of-a-car-tire/): Median 41.413 kg CO₂e per unit, from 10,000 Monte Carlo simulations.
- [Carbon Footprint of Disinfectant Spray](https://devera.ai/benchmarks/carbon-footprint-of-a-disinfectant-spray/): Median 1.29 kg CO₂e per kg, from 10,000 Monte Carlo simulations.
- [Carbon Footprint of Drain Cleaner](https://devera.ai/benchmarks/carbon-footprint-of-a-drain-cleaner/): Median 1.478 kg CO₂e per kg, from 10,000 Monte Carlo simulations.
- [Carbon Footprint of Fresh Apples](https://devera.ai/benchmarks/carbon-footprint-of-a-fresh-apples/): Median 1.109 kg CO₂e per kg, from 10,000 Monte Carlo simulations.
- [Carbon Footprint of Laptop](https://devera.ai/benchmarks/carbon-footprint-of-a-laptop/): Median 215.096 kg CO₂e per unit, from 10,000 Monte Carlo simulations.
- [Carbon Footprint of Plant-Based Food Product](https://devera.ai/benchmarks/carbon-footprint-of-a-plant-based-food-product/): Median 3.097 kg CO₂e per kg, from 10,000 Monte Carlo simulations.
- [Carbon Footprint of Resin](https://devera.ai/benchmarks/carbon-footprint-of-re
…
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=devera.ai · GET /v1/domain/devera.ai · 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 devera.ai, 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 devera.ai:
1. POST https://agentwebmap.com/v1/sites/devera.ai/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://devera.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/devera.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/devera.ai).
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.