Acceldata

aid: acceldata
url: >-
  https://raw.githubusercontent.com/api-evangelist/acceldata/refs/heads/main/apis.yml
name: Acceldata
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
- AI Agents
- Data Management
- Data Observability
- Data Pipeline
- Data Quality
- Intelligence
- Observability
description: >-
  Acceldata is an agentic data management platform that helps enterprises
  monitor, govern, and optimize data across cloud, lakehouse, and hybrid
  environments. The platform combines AI-powered agents with data observability
  to proactively detect issues, trace root causes, and automate remediation
  workflows. Key products include ADM (Agentic Data Management), ADOC
  (Acceldata Data Observability Cloud), Pulse for Hadoop environments, and
  Agent Studio for building custom AI agents. It supports integrations with
  Snowflake, Databricks, AWS, GCP, Azure, and Hadoop.
created: '2025-02-24'
modified: '2026-04-19'
specificationVersion: '0.19'
apis:
- aid: acceldata:adoc-api
  name: Acceldata Data Observability Cloud API
  description: >-
    The ADOC API provides programmatic access to data observability features
    including alerts, data quality rules, pipeline monitoring, data lineage,
    users, groups, roles, and permissions within the Acceldata Data
    Observability Cloud platform.
  humanURL: https://docs.acceldata.io/api/introduction
  baseURL: https://api.acceldata.app/v1
  tags:
  - Data Observability
  - Data Quality
  - Alerts
  - Data Pipeline
  properties:
  - url: https://docs.acceldata.io/api/introduction
    type: Documentation
  - url: https://docs.acceldata.io/api/authentication
    type: Authentication
  - url: openapi/acceldata-adoc-api.yaml
    type: OpenAPI
  - url: json-schema/adoc-api-alert-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-alert-list-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-data-quality-rule-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-data-quality-rule-list-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-dataset-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-dataset-list-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-lineage-node-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-lineage-graph-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-pipeline-job-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-pipeline-job-list-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-user-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-user-list-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-role-schema.json
    type: JSONSchema
  - url: json-schema/adoc-api-role-list-schema.json
    type: JSONSchema
  - url: json-structure/adoc-api-alert-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-alert-list-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-data-quality-rule-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-data-quality-rule-list-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-dataset-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-dataset-list-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-lineage-node-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-lineage-graph-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-pipeline-job-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-pipeline-job-list-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-user-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-user-list-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-role-structure.json
    type: JSONStructure
  - url: json-structure/adoc-api-role-list-structure.json
    type: JSONStructure
  - url: examples/adoc-api-alert-example.json
    type: Example
  - url: examples/adoc-api-alert-list-example.json
    type: Example
  - url: examples/adoc-api-data-quality-rule-example.json
    type: Example
  - url: examples/adoc-api-dataset-example.json
    type: Example
  - url: examples/adoc-api-lineage-graph-example.json
    type: Example
  - url: examples/adoc-api-pipeline-job-example.json
    type: Example
  - url: examples/adoc-api-user-example.json
    type: Example
  - url: examples/adoc-api-role-example.json
    type: Example
common:
- type: Website
  url: https://www.acceldata.io/
- type: Portal
  url: https://accounts.acceldata.app/login
- type: Documentation
  url: https://docs.acceldata.io/
- type: GettingStarted
  url: https://docs.acceldata.io/api/introduction
- type: Pricing
  url: https://www.acceldata.io/pricing
- type: Blog
  url: https://www.acceldata.io/blog
- type: PrivacyPolicy
  url: https://www.acceldata.io/privacy-policy
- type: TermsOfService
  url: https://www.acceldata.io/terms-of-use
- type: Features
  data:
  - name: Agentic Data Management
    description: AI-powered agents that proactively detect issues, trace root 
      causes, and automate data quality remediation workflows
  - name: Data Quality Monitoring
    description: Multi-variate anomaly detection, column-level profiling, and 
      proactive monitoring across all data platforms
  - name: Data Lineage
    description: End-to-end data lineage visualization with schema change 
      management and column-level impact analysis
  - name: Pipeline Health Monitoring
    description: Real-time SLA monitoring, bottleneck identification, and root 
      cause analysis for data pipelines
  - name: Data Cost Management
    description: Visibility into data spending, budget optimization, 
      chargebacks, and cost forecasting across cloud environments
  - name: Business Notebook
    description: Natural language interface with contextual memory for querying 
      data quality and observability insights
  - name: Agent Studio
    description: Low-code environment for building and deploying custom AI 
      agents for data management workflows
  - name: BYOLLM Support
    description: Bring Your Own Large Language Model for enterprise-controlled 
      AI inference within data operations
  - name: xLake Reasoning Engine
    description: Exabyte-scale, AI-aware processing engine supporting cloud 
      hyperscalers and on-premises deployments
- type: UseCases
  data:
  - name: Data Quality Assurance
    description: Continuously monitor and automatically remediate data quality 
      issues across cloud and hybrid environments
  - name: Cloud Migration Validation
    description: Validate data completeness, consistency, and accuracy during 
      cloud migration projects
  - name: AI and LLM Data Readiness
    description: Ensure data pipelines produce clean, reliable, and AI-ready 
      datasets for training and inference
  - name: Cost Optimization and FinOps
    description: Identify and reduce wasteful data pipeline and infrastructure 
      costs with granular usage analytics
  - name: Data Reconciliation
    description: Automatically detect and resolve discrepancies between source 
      and target systems across platforms
  - name: Compliance and Data Governance
    description: Track data lineage and access patterns to support regulatory 
      compliance and data governance programs
- type: Integrations
  data:
  - name: Snowflake
    description: Native integration for monitoring Snowflake data quality, query
      performance, and cost optimization
  - name: Databricks
    description: Integration for observing Databricks lakehouse pipelines, job 
      health, and data quality
  - name: AWS
    description: Support for AWS data services including S3, Redshift, Glue, 
      EMR, and Athena
  - name: Google Cloud Platform
    description: Integration with GCP data services including BigQuery, 
      Dataflow, and Cloud Storage
  - name: Microsoft Azure
    description: Integration with Azure Synapse, Azure Data Factory, and Azure 
      Data Lake Storage
  - name: Hadoop / Apache
    description: Dedicated Pulse product for Hadoop ecosystem monitoring 
      including HDFS, YARN, Hive, and Spark

- url: rules/acceldata-spectral-rules.yml
  type: SpectralRules
- url: capabilities/data-observability.yaml
  type: NaftikoCapability
- url: vocabulary/acceldata-vocabulary.yaml
  type: Vocabulary
- url: json-ld/acceldata-adoc-api-context.jsonld
  type: JSON-LD
maintainers:
- FN: Kin Lane
  email: [email protected]