HyperDX Search API

Endpoints for querying raw data from log and trace sources

Operations 1

POST /api/v2/search Search Raw Logs and Traces #

Work with this as data

Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for apis

7 MCP tools reach this
  • find_apisBrowse and filter every API in the catalog.
  • get_api_artifactsOne API's artifacts, grouped by type.
  • get_openapiThe primary OpenAPI for this API.
  • find_similar_apisAPIs that look like this one.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This API
curl "https://apis.io/api/v1/apis/hyperdx-search-api"
All apis
curl "https://apis.io/api/v1/apis?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no email required.

A second provider on the same verified email joins the account you already have.

OpenAPI Specification

hyperdx-search-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: HyperDX External Search API
  description: API for managing HyperDX alerts and dashboards
  version: 2.0.0
servers:
- url: /
  description: Your HyperDX instance (http://<host>:<port>)
security:
- BearerAuth: []
tags:
- name: Search
  description: Endpoints for querying raw data from log and trace sources
paths:
  /api/v2/search:
    post:
      summary: Search Raw Logs and Traces
      description: "Fetch individual log or trace rows from a HyperDX source.\n\nThis endpoint mirrors the \"search\" panel mode in the HyperDX UI.\nHyperDX applies the same query optimizations used in the UI:\n  - Named attribute columns (e.g. \"pipedream.pipeline_name\") are\n    rewritten to their indexed materialized equivalents when the\n    source schema exposes them, avoiding slow Map lookups.\n  - Rows are ordered by timestamp descending (most recent first).\n  - The source's built-in PREWHERE / partition pruning is applied.\n\nAuthentication: Bearer token (personal API key from Team Settings).\n"
      operationId: searchEvents
      tags:
      - Search
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/SearchRequest'
            examples:
              recentErrors:
                summary: Recent errors for a service
                value:
                  sourceId: 69b46cb0d964ce2d0b9506a8
                  startTime: '2026-05-10T00:00:00Z'
                  endTime: '2026-05-10T01:00:00Z'
                  where: SeverityText:ERROR
                  select: Timestamp,SeverityText,Body,ServiceName
                  maxResults: 50
              pipedreamTaskLogs:
                summary: Pipedream task logs with materialized column filter
                value:
                  sourceId: 69b46cb0d964ce2d0b9506a8
                  startTime: '2026-05-10T00:00:00Z'
                  endTime: '2026-05-10T01:00:00Z'
                  where: pipedream.pipeline_name:my-pipeline
                  select: Timestamp,SeverityText,Body,pipedream.pipeline_name,pipedream.stage_name,pipedream.task_index
                  maxResults: 200
              traceSearch:
                summary: Slow spans for a service
                value:
                  sourceId: 69b46cb0d964ce2d0b9508b2
                  startTime: '2026-05-10T00:00:00Z'
                  endTime: '2026-05-10T01:00:00Z'
                  where: ServiceName:my-service AND Duration:>1000000000
                  select: Timestamp,TraceId,SpanId,SpanName,ServiceName,Duration,StatusCode
                  maxResults: 100
              paginated:
                summary: Paginated fetch
                value:
                  sourceId: 69b46cb0d964ce2d0b9506a8
                  startTime: '2026-05-10T00:00:00Z'
                  endTime: '2026-05-10T01:00:00Z'
                  maxResults: 100
                  offset: 100
      responses:
        '200':
          description: Matching rows returned successfully
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/SearchResponse'
              example:
                data:
                - Timestamp: '2026-05-10T00:01:23.456789000Z'
                  SeverityText: ERROR
                  Body: 'connection refused: redis:6379'
                  ServiceName: api-service
                rows: 1
        '400':
          description: Invalid request parameters or query error
          content:
            application/json:
              schema:
                type: object
                properties:
                  message:
                    type: string
        '401':
          description: Missing or invalid API key
        '404':
          description: Source or connection not found
          content:
            application/json:
              schema:
                type: object
                properties:
                  message:
                    type: string
        '500':
          description: Server error
          content:
            application/json:
              schema:
                type: object
                properties:
                  message:
                    type: string
components:
  schemas:
    SearchResponse:
      type: object
      properties:
        data:
          type: array
          description: Array of result rows. Each row is an object with keys corresponding to the requested columns.
          items:
            $ref: '#/components/schemas/SearchRow'
        rows:
          type: integer
          description: Number of rows in this response (not total matching rows).
    SearchRow:
      type: object
      description: 'A single result row. Keys correspond to the requested columns (or the source default columns when columns was omitted). Values are strings or numbers as returned by ClickHouse.

        '
      additionalProperties: true
    SearchRequest:
      type: object
      required:
      - sourceId
      properties:
        sourceId:
          type: string
          description: 'Source ID to query. Call GET /api/v2/sources to list available sources.

            The source determines the underlying ClickHouse table (e.g. otel.otel_logs,

            otel.otel_traces) and its column schema.

            '
          example: 69b46cb0d964ce2d0b9506a8
        startTime:
          type: string
          format: date-time
          description: 'Start of the query window (ISO 8601). Defaults to 15 minutes before endTime. Must be before endTime.

            '
          example: '2026-05-10T00:00:00Z'
        endTime:
          type: string
          format: date-time
          description: End of the query window (ISO 8601). Defaults to now.
          example: '2026-05-10T01:00:00Z'
        where:
          type: string
          maxLength: 8192
          default: ''
          description: "Row filter expression. The language is controlled by whereLanguage.\n\nLucene examples (default):\n  SeverityText:ERROR\n  pipedream.pipeline_name:my-pipeline AND SeverityText:ERROR\n  Body:timeout\n\nSQL examples (whereLanguage: \"sql\"):\n  SeverityText = 'ERROR'\n  `pipedream.pipeline_name` = 'my-pipeline'\n"
          example: SeverityText:ERROR
        whereLanguage:
          type: string
          enum:
          - lucene
          - sql
          example: lucene
          default: lucene
          description: Language used for the where filter. Default is lucene.
        select:
          type: string
          maxLength: 4096
          default: ''
          description: 'Comma-separated list of ClickHouse column expressions to include in

            each result row. When omitted the source''s default select expression

            is used.


            Each entry is a ClickHouse SQL expression executed under the team''s

            database user. Semicolons and subqueries (SELECT keyword) are

            rejected; use column references, map lookups, or function calls only.


            HyperDX rewrites known attribute column names to their materialized

            equivalents automatically; you can still pass the logical name.

            '
          example: Timestamp,SeverityText,Body,pipedream.pipeline_name
        orderBy:
          type: string
          maxLength: 1024
          description: 'ClickHouse ORDER BY expression. When omitted the source''s default

            ordering (typically timestamp DESC) is used.

            '
          example: Timestamp DESC
        maxResults:
          type: integer
          minimum: 1
          maximum: 2000
          default: 100
          description: Maximum number of rows to return. Default is 100, max is 2000.
        offset:
          type: integer
          minimum: 0
          maximum: 10000
          default: 0
          description: 'Number of rows to skip (best-effort offset pagination). Default is

            0, max is 10000. Offset pagination is non-deterministic when

            multiple rows share the same timestamp; for reliable deep paging

            filter by the last Timestamp value returned in the previous page

            instead of using a large offset.

            '
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      bearerFormat: API Key