Connect Harness Data — DevOps Pipeline Intelligence

Connect Harness and let AI agents query deployment metrics, pipeline performance, and service health alongside business impact data.

SOC 2 Type II 1,000+ data sources Any warehouse or BI tool

Improvado Agent

Connected to Harness

Show me deployment frequency and failure rates across all services this quarter.

Your services averaged 47 deployments per week with a 2.3% failure rate. Payment-service leads at 89 deploys/week with 1.1% failures, while checkout-service shows 5.8% failures — highest in your fleet.

Pause deployments for checkout-service until failure rate drops below 3%.

Deployment pipeline paused for checkout-service. Alert configured to notify when 3 consecutive successful builds are detected. Current failure rate: 5.8%.

Trusted by data-driven teams

1,000+

Integrations

200+

Harness Fields

99.9%

SLA Uptime

<5 min

Setup

SOC 2

Type II

Key Takeaways

Connect Harness to your data warehouse

Improvado connects to Harness APIs to extract deployment data, pipeline metrics, service performance, and development velocity indicators. Integration setup takes 15 minutes with no coding required. Your CI/CD data updates automatically every 30 minutes, providing current insights into deployment success rates and development team productivity. API authentication and rate limiting are managed automatically.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Harness API

15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.

Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.

Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio

AI Agent access via MCP Query, write, and monitor Harness through Claude, ChatGPT, Cursor, or any MCP client

Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.

OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.

Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.

Integration Details

Unified development data across platforms

Improvado's Marketing Common Data Model standardizes Harness data alongside business intelligence platforms. Combine deployment frequency with marketing campaign launches and revenue data. Analyze development velocity against business outcomes without complex data engineering. Your CI/CD metrics use consistent naming conventions across all connected business and technical platforms.

Harness NextGen API · API key · hourly · full refresh

Schema Overview

Data objects and fields Improvado extracts from Harness

Object	Fields
Connectors	connector_id name type status created_at updated_at
Deployments	deployment_id pipeline_id status start_time end_time environment
Pipelines	pipeline_id name type status trigger_type last_execution
Services	service_id name deployment_type artifact_source environment
CCM K8S Connectors	connector_id cluster_name namespace cost usage

How it works

From connection to autonomous action in three steps

Connect

Connect your Harness account via API key with read and write permissions. Agent authenticates through Harness Platform APIs to access deployment pipelines, service metrics, and execution history across all your projects.

Ask

Ask questions like 'Which services had the most rollbacks this month?' or 'Show me mean time to recovery for production deployments' or 'What's our deployment frequency compared to last quarter?'

Act

Agent pauses or resumes pipelines, triggers rollbacks for failed deployments, adjusts deployment frequency thresholds, configures failure rate alerts, and modifies approval gates based on performance patterns.

Use Cases

What teams ask their AI agent about Harness

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →

Improvado Agent Analysis

Track deployment success rates against marketing campaign launches and revenue impact

Your AI agent analyzes Harness data and delivers actionable insights — automatically, in seconds.

8 hrs → 30 min

Improvado Agent Cross-channel

Optimize development velocity by analyzing pipeline performance across teams and projects

Your AI agent analyzes Harness data and delivers actionable insights — automatically, in seconds.

Manual → auto

Improvado Agent Reporting

Create executive dashboards showing development productivity and business delivery metrics

Your AI agent analyzes Harness data and delivers actionable insights — automatically, in seconds.

6 hrs → 22 min

AI Agent Access

Your agent doesn't just read Harness — it ties deploys to revenue impact

Read

Agent reads deployment frequency, failure rates, rollback history, mean time to recovery, pipeline execution logs, service health metrics, build success rates, and approval gate status across all environments and projects.

Write

Agent pauses or resumes deployment pipelines, triggers rollbacks, adjusts deployment schedules, configures failure threshold alerts, modifies approval requirements, and gates deployments based on performance criteria.

Monitor

Agent monitors deployment failure rates against thresholds, tracks MTTR trends, watches for rollback spikes, detects pipeline bottlenecks, and alerts when service deployment patterns deviate from baseline performance.

AI agents query deployment frequency, pipeline success rates, and service performance directly from Harness. They correlate deployment timing with conversion rate changes and revenue fluctuations to measure feature impact. Agents answer questions like 'Did last week's deployment improve checkout conversion?' by joining CI/CD data with analytics platforms.

Claude ChatGPT Cursor Gemini Any MCP Client

Explore MCP →

Improvado Agent · Harness

You

Show me deployment performance by service this month

Service Performance

Service	Deploys	Failure Rate
payment-service	89/week	1.1%
inventory-api	62/week	1.8%
order-processor	54/week	2.4%
user-auth	41/week	3.2%
checkout-service	38/week	5.8%

5 services · 284 total deploys/week · avg 2.3% failure rate

You

Pause deployments for checkout-service until failure rate improves

Pipeline Paused

checkout-service · 5.8% failure rate

Destinations

Send Harness data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

Snowflake → BigQuery → Redshift → Databricks → Power BI → Tableau → Looker Studio → Google Sheets → Domo → Excel → Qlik → Amazon S3 → Metabase → Grafana → PostgreSQL → Azure SQL →

SOC 2 Type II: Certified Security

HIPAA: Health Data Privacy

GDPR: EU Data Protection

CCPA: CA Privacy Standard

Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Harness as one of 1,000+ integrated sources.

Feature	Improvado	Supermetrics	Funnel.io	Fivetran
Data fields extracted	200+	~90	~120	~80
Total integrations	1,000+	~150	~500	~300
Cross-channel normalization (CDM)	✓ Built-in	✗ Manual	Basic mapping	✗ Raw only
AI Agent access (MCP)	✓ Read, Write, Monitor	✗	✗	✗
Data warehouse destinations	✓ 16+ warehouses & BI tools	Sheets, Looker, BigQuery	BigQuery, Snowflake, Redshift	✓ Broad warehouse support
Refresh frequency	Every 15 min	Scheduled triggers	Daily / 6hr	Every 15 min (premium)
SOC 2 Type II & HIPAA	✓	✗ SOC 2 only	✓ SOC 2	✓
Best for	Teams that want an AI agent, not a pipeline	Small teams, spreadsheets	Mid-market, data teams	Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

What Harness data can Improvado extract?

Improvado extracts pipelines, deployments, services, environments, execution metrics, and performance data from Harness. All data includes success rates, duration metrics, and team productivity indicators for comprehensive analysis.

How often does Harness data refresh in my warehouse?

Harness data refreshes every 30 minutes by default through Improvado's automated sync. You can adjust frequency from every 15 minutes to daily depending on your development reporting requirements.

Can I combine Harness data with business metrics?

Yes, Improvado's Marketing Common Data Model enables joining Harness deployment data with revenue, marketing, and operational platforms. This allows analysis of development velocity against business outcomes and feature delivery impact.

Which destinations support Harness data integration?

Improvado loads Harness data into BigQuery, Snowflake, Redshift, Azure SQL, Tableau, Power BI, and Looker. Data arrives pre-formatted for immediate dashboard creation and development analytics.

How does Improvado handle Harness pipeline hierarchies?

Improvado preserves Harness's service-pipeline-stage relationships in your warehouse schema. Pipeline dependencies and execution flows are maintained through relational keys for accurate performance analysis.

What schema format does Harness data use in my warehouse?

Improvado normalizes Harness data into standardized tables with consistent column names and data types. Deployment timestamps use standard formats and status fields follow uniform naming conventions for easy analysis.

Customer stories

See all customer stories →

“Improvado saves about 90 hours per week and allows us to focus on data analysis rather than routine data aggregation, normalization, and formatting.”

Jeff LeeHead of Social, Media Buy, Influencer & Marketing Data, ASUS

Read story →

“Improvado's reporting tool effortlessly integrates all our marketing data so we can easily track users across their entire digital journey. This saves me and my team countless hours.”

Marc CerniglioInsights & Automation Manager, Chacka Marketing

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Put an AI agent on your Harness today

Connect in under 5 minutes. Your agent starts reading, acting, and monitoring immediately.

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