# Pinecone

> Managed, serverless vector database.

- **Category**: vector-database
- **Éditeur** : Pinecone
- **Site** : https://www.pinecone.io
- **Pricing model**: usage_based
- **Rubrique** : v0.2.0

## Surfaces evaluated

### Pinecone API `pinecone-rest`

- **Type** : rest
- **Base URL** : https://api.pinecone.io
- **Documentation** : https://docs.pinecone.io/reference/api/introduction
- **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**: 62.5 / 100
**Coverage**: 71 %
**Measured**: 2026-10-05 (oldest measurement still counted)

| Criterion | Weight | Score |
| --- | --- | --- |
| Auth Friction | 10 | 90 |
| Doc Legibility | 12 | 17 |
| Task Atomicity | 6 | 75 |
| Interaction Cost | 15 | 80 |
| Payload Efficiency | 8 | 52 |
| Error Recoverability | 15 | 51 |
| 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/pinecone