# Qdrant

> Open-source vector search engine, managed in Qdrant Cloud.

- **Category**: vector-database
- **Éditeur** : Qdrant
- **Site** : https://qdrant.tech
- **Pricing model**: freemium
- **Rubrique** : v0.2.0

## Surfaces evaluated

### Qdrant REST API `qdrant-cloud-rest`

- **Type** : rest
- **Documentation** : https://api.qdrant.tech/api-reference
- **Authentification** : api_key_header

**Statut de notation** : `scored`

Complete benchmark. `overall` is a weighted average of the applicable criteria, comparable to other surfaces in the same category and the same rubric version.

**Overall score**: 69.5 / 100
**Coverage**: 88 %
**Measured**: 2026-10-05 (oldest measurement still counted)

| Criterion | Weight | Score |
| --- | --- | --- |
| Tool-Native (MCP) | 2 | 100 |
| Auth Friction | 10 | 90 |
| Offload Value | 15 | 84 |
| Doc Legibility | 12 | 17 |
| Task Atomicity | 6 | 100 |
| Interaction Cost | 15 | 100 |
| Payload Efficiency | 8 | 52 |
| Error Recoverability | 15 | 36 |
| Prior Knowledge Coverage | 5 | 100 |

## Methodology

Scores are derived from real runs and probes, never from reviews. A missing criterion is excluded from the computation and the weights are renormalised — it is never counted as a zero.

- Full rubric: https://agentsco.re/api/v1/rubric
- Methodology: https://agentsco.re/methodology
- Cette fiche en JSON : https://agentsco.re/api/v1/tools/qdrant