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: PostmanWorkspace url: https://www.postman.com/kinlaneapi/acceldata/overview - type: ArazzoWorkflows url: arazzo/ workflows: - url: arazzo/acceldata-access-review-workflow.yml name: Acceldata Access Review summary: List organization users and the platform roles so access can be reviewed against defined permissions. - url: arazzo/acceldata-create-and-verify-rule-workflow.yml name: Acceldata Create and Verify Data Quality Rule summary: Resolve a dataset, create a data quality rule on it, and confirm the rule is registered. - url: arazzo/acceldata-critical-alert-sweep-workflow.yml name: Acceldata Critical Alert Sweep summary: List open critical alerts and acknowledge the first one when any are present. - url: arazzo/acceldata-dataset-quality-audit-workflow.yml name: Acceldata Dataset Quality Audit summary: Resolve a dataset, list its data quality rules, and map its lineage for impact analysis. - url: arazzo/acceldata-onboard-rule-with-impact-workflow.yml name: Acceldata Onboard Rule With Impact summary: Resolve a dataset, review its existing rules, create a new rule, and map downstream impact. - url: arazzo/acceldata-pipeline-failure-investigation-workflow.yml name: Acceldata Pipeline Failure Investigation summary: Find failed pipeline jobs, pull related critical alerts, and acknowledge the first one. - url: arazzo/acceldata-triage-dataset-alerts-workflow.yml name: Acceldata Triage Dataset Alerts summary: Resolve a dataset, pull its open alerts, and acknowledge the most severe one. - type: GitHubOrganization url: https://github.com/acceldata-io - type: LinkedIn url: https://www.linkedin.com/company/acceldata - 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: JSONLD - type: Integrations url: https://www.acceldata.io/integrations - type: LLMsTxt url: https://docs.acceldata.io/llms.txt integrations: - name: Acceldata Logo blue SVG - name: Acceldata Logo White SVG - name: Acceldata as Information security management certified - name: Acceldata as AICPA SOC Certified maintainers: - FN: Kin Lane email: kin@apievangelist.com