M
ENT-00001498 · Evaluation System

METR

METR is a ai evaluations research organization associated with METR.

Level IV — ConnectedActiveStructured
Human readable record

Overview

METR is a ai evaluations research organization associated with METR. The entity is included because it provides a public reference point for AI governance, evaluation, safety, benchmarking, policy or ecosystem documentation.

Timeline

  1. 2023METR public release or documentation

    METR appears in public documentation as a ai evaluations research organization associated with METR.

Capabilities

Public documentation anchorAI governance or evaluation relevanceRelationship mappingRegistry context support

Known limitations

The record documents public identity and source context rather than private internal processes.Interpretation depends on the entity category, source scope and publication context.
Technical and registry detail

Technical description

Structured record for METR. The technical layer captures source, public release period, responsible organization, category, role in AI governance or evaluation and relationships to models, benchmarks, safety systems or registry interpretation.

Controlled tags

Evaluation SystemDocumented EntityContemporaryBatch 03 Candidate
Relationship graph
METR
Created or maintained byMETR

METR is associated with METR.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001498",
    "name": "METR",
    "alternateName": [],
    "additionalType": "Evaluation System",
    "description": "METR is a ai evaluations research organization associated with METR.",
    "creator": "METR",
    "url": "entity.php?id=ENT-00001498",
    "sameAs": "https://metr.org/",
    "lxkeysWorld": {
        "classification": "AI evaluations research organization",
        "organization": "METR",
        "originContext": "AI governance, evaluation and policy record",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Public documentation anchor",
            "AI governance or evaluation relevance",
            "Relationship mapping",
            "Registry context support"
        ],
        "limitations": [
            "The record documents public identity and source context rather than private internal processes.",
            "Interpretation depends on the entity category, source scope and publication context."
        ],
        "tags": [
            "Evaluation System",
            "Documented Entity",
            "Contemporary",
            "Batch 03 Candidate"
        ],
        "timeline": [
            {
                "date": "2023",
                "title": "METR public release or documentation",
                "description": "METR appears in public documentation as a ai evaluations research organization associated with METR."
            }
        ],
        "relationships": [
            {
                "target": "METR",
                "type": "Created or maintained by",
                "description": "METR is associated with METR.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "METR official reference",
                "url": "https://metr.org/",
                "source_type": "Official or Primary Source",
                "verification_status": "verified"
            }
        ]
    }
}
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