# Encr scores 98 out of 100 on the Agent Readiness Index

Encr reaches level 4, Trusted. Discoverability is the strongest area at 100 out of 100. Protocol access is the weakest at 96.

Encr was scanned on October 15, 2026. Its score is 98 out of 100, level 4, Trusted. A customer can authorize an agent with limited, revocable access. To reach level 5, Native: Support agents on every channel: passkeys, a high assurance profile and a voice line scoring 70 or more.

Website: [encr.ai](https://www.encr.ai)

## Score by area

| Area | Score | What it asks |
| --- | --- | --- |
| Discoverability | 100 out of 100, worth 15 points | Can an agent find and read your pages? |
| Protocol access | 96 out of 100, worth 20 points | Can an agent connect to you through MCP or an API? |
| Identity and delegation | 96 out of 100, worth 20 points | Can a customer give an agent limited access without sharing a password? |
| Web experience | 100 out of 100, worth 15 points | Does your site work when an agent uses it? |
| Voice and IVR | Not measured yet | What happens when an agent calls your phone line? |
| Policy and governance | 100 out of 100, worth 10 points | Do your terms allow agents that act for customers? |

## What is holding Encr back

1. **Passkeys at sign in**, 4 points lost. No passkey signal was found on the sign in page or in the published pages read. A prompt that starts only after a person types is not visible to the scan. Fix: Offer passkeys with conditional UI on the sign in page and for step up approvals.
2. **Agent card for agent to agent calls**, 2 points lost. No agent card was found. Fix: Publish /.well known/agent card.json describing skills and authentication.
3. **Developer and data sharing program**, 2 points lost. A developer portal or aggregator connection is mentioned, without a described data sharing program. Fix: Document the program, the standard in use for example FDX in US banking, the supported partners and a sandbox.
4. **Semantic page structure**, 1 point lost. The page structure is only partly readable by agents. Fix: Use landmark elements, headings in order, accessible names on buttons and alt text on images.

## What already works

- MCP server
- OAuth and OpenID metadata
- Robots policy for user triggered agents

## How Encr compares

The average score for other is 34.8 out of 100 across 233 organizations. The average across all 1,421 scored organizations is 42.2 out of 100.

## Similar organizations

- [Viewz](https://readyindex.ai/viewz_co), 84 out of 100
- [OKX Europe](https://readyindex.ai/okx_com), 79 out of 100
- [Dropbox](https://readyindex.ai/dropbox_com), 77 out of 100

## More on this report

- [This report as markdown](https://readyindex.ai/encr_ai.md)
- [This report as JSON data](https://readyindex.ai/api/reports/encr_ai)
- [How the score is worked out](https://readyindex.ai/method)
- [All leaderboards](https://readyindex.ai/leaderboards)
- [Every scored organization](https://readyindex.ai/organizations)
- [Scan your own website](https://readyindex.ai/)

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Source: https://readyindex.ai/encr_ai
Updated: 2026-10-15
From the Agent Readiness Index by Encore AI. When you quote a score, please link to the report it came from.