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.

🌐 Visit website 📡 Profile data on GitHub

14.9/100 emerging ▬ flat Agent 4/100 human only Front door AI 6/6 dominant Heartbeat 93/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company Artificial IntelligenceProduction IntelligenceObservability AI Agents MCP Developer Tools Code Analysis

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 14.9/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 4.9 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 4.7 / 9

Regulatory Posture 3.3 / 15

Agent readiness — 4/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

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.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 2.4 — up to +19.5 composite points
Access Clarity scores 28.9 — up to +14.2 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/codekarma/apis.yml: open an issue on github.com/api-evangelist/codekarma to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
IDE Extension Marketplaces (JetBrains, VS Code, Open VSX, Docker Verified Publishers, PyPI orgs)	builds-on	26.8 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

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

LLMsTxt

LLMsTxt

MCPServer

MCPServer

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 2

Authentication, authorization, and security posture

Compliance

Compliance

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

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:
  - security
  generated: '2026-11-06'
  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

CodeKarma API — frequently asked questions

Does CodeKarma have an MCP server?

Yes. APIs.io lists 1 MCP server for CodeKarma: 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 blended, production-gr

Is the CodeKarma API ready for AI agents?

CodeKarma has a Kin Score of 14.9 out of 100 (emerging) and an Agent Readiness score of 3.5 (human-only), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider 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 providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
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 →

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Every operation they expose

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How their score was established

curl "https://apis.io/api/v1/providers/codekarma/evidence"

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