CodeKarma website screenshot

CodeKarma

CodeKarma is a production intelligence platform that maps 100% of production traffic directly to source code, giving engineering teams and AI agents code-level visibility into how software actually behaves in production. Its products include KarmaLens (an IDE plugin for JetBrains and VS Code surfacing dead code, method frequency, and performance hotspots), KarmaDomain (live API-level dependency graphs across microservices, databases, and async systems), KarmaPulse (an operations command center with API health, error drift, and AI root cause analysis), and KarmaIQ (an MCP server that feeds production context to AI coding agents such as Cursor, Windsurf, GitHub Copilot, and Claude). Deployed as managed SaaS or bring-your-own-cloud (AWS, Azure, GCP), CodeKarma is SOC 2 Type 2 certified and collects only behavioral telemetry — no PII, payloads, or request bodies. Founded by Anantharam Vanchi Prakash and Priyanka Nahata, based in Bengaluru, India, and backed by Prosus, Accel, Xeed Ventures, SenseAI Ventures, and Stargazer Ventures.

CodeKarma is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Production Intelligence, Observability, and AI Agents.

CodeKarma’s developer surface includes engineering blog and 8 more developer resources.

14.2/100 emerging ▬ flat Agent 4/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs 1 MCP Servers
CompanyArtificial IntelligenceProduction IntelligenceObservabilityAI AgentsMCPDeveloper ToolsCode Analysis

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/codekarma: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

KarmaIQ

KarmaIQ is CodeKarma's MCP (Model Context Protocol) server that provides production context to AI coding agents for deterministic debugging and root cause analysis. It exposes a...

MCP SERVER

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Codekarma Domain Security

TLSv1.3

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Access & Security 2

Authentication, authorization, and security posture

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: codekarma
name: CodeKarma
description: CodeKarma is a production intelligence platform that maps 100% of production traffic directly to source code,
  giving engineering teams and AI agents code-level visibility into how software actually behaves in production. Its products
  include KarmaLens (an IDE plugin for JetBrains and VS Code surfacing dead code, method frequency, and performance hotspots),
  KarmaDomain (live API-level dependency graphs across microservices, databases, and async systems), KarmaPulse (an operations
  command center with API health, error drift, and AI root cause analysis), and KarmaIQ (an MCP server that feeds production
  context to AI coding agents such as Cursor, Windsurf, GitHub Copilot, and Claude). Deployed as managed SaaS or bring-your-own-cloud
  (AWS, Azure, GCP), CodeKarma is SOC 2 Type 2 certified and collects only behavioral telemetry — no PII, payloads, or request
  bodies. Founded by Anantharam Vanchi Prakash and Priyanka Nahata, based in Bengaluru, India, and backed by Prosus, Accel,
  Xeed Ventures, SenseAI Ventures, and Stargazer Ventures.
url: https://raw.githubusercontent.com/api-evangelist/codekarma/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://codekarma.ai/og-default.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- prosus-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Artificial Intelligence
- Production Intelligence
- Observability
- AI Agents
- MCP
- Developer Tools
- Code Analysis
tags_raw:
- Company
- Ai
- Production Intelligence
- Observability
- AI Agents
- MCP
- Developer Tools
- Code Analysis
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://codekarma.ai
- type: Blog
  url: https://codekarma.ai/blog
- type: PrivacyPolicy
  url: https://codekarma.ai/privacy-policy
- type: TermsOfService
  url: https://codekarma.ai/terms
- type: Compliance
  url: https://codekarma.ai/security
- type: LLMsTxt
  url: llms/codekarma-llms.txt
- type: MCPServer
  url: mcp/codekarma-mcp.yml
- type: Conformance
  url: conformance/codekarma-conformance.yml
- type: DomainSecurity
  url: security/codekarma-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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