---
title: "Search files via Elasticsearch Query Language"
method: POST
path: "/v1/datalake/searchEql"
tags: ["Search"]
---

# Search files via Elasticsearch Query Language

`POST /v1/datalake/searchEql`

Execute advanced search queries using Elasticsearch Query Language to find files based on metadata, content, labels, and processing attributes. Use this for complex search operations that require precise filtering.

## Query parameters

- `index` union
  - string[]
  - string

## Headers

- `ts-auth-token` string, required
- `x-org-slug` string, required

## Request body

- object — The Elasticsearch query/aggregation JSON.

## Response `200`

200

- object
  - `took` integer
  - `timed_out` boolean
  - `_shards` object
    - `total` integer
    - `successful` integer
    - `skipped` integer
    - `failed` integer
  - `hits` object
    - `total` integer
    - `max_score` number
    - `hits` object[]
      - `_index` string
      - `_type` string
      - `_id` string
      - `_score` number
      - `_source` object
        - `fileId` string
        - `orgSlug` string
        - `category` string
        - `sourceType` string
        - `source` object
          - `type` string
          - `egnyte` object
            - `integrationId` string
            - `filePath` string
            - `fileName` string
            - `groupId` string
            - `entryId` string
            - `checksum` string
            - `versionId` string
            - `lastModifiedTime` string
            - `versionNum` integer
        - `createdAt` string

## Other responses

- `400` — 400

---

[API](https://skmtc.net/tetrascience/apis/tetra-data-lake.md) · [All operations](https://skmtc.net/tetrascience/apis/tetra-data-lake/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/tetrascience/tetra-data-lake/revisions/0205e2bace53/schema)