Need help with your APIs? I offer API discovery, governance & evangelism services. Explore services →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC
Sourcegraph website screenshot

Sourcegraph

Sourcegraph is a code intelligence platform that lets developers and AI agents search, navigate, understand, and modify code across very large, multi-repo codebases. The platform pairs classic code search and code intelligence (jump-to-definition, references, batch changes) with AI products — Cody (in-IDE AI coding assistant), Amp (frontier coding agent with its own CLI and plugin system), and Deep Search (a natural-language code research agent). Sourcegraph instances expose a versioned external REST API introduced in v7.0, a streaming search API, an analytics API, webhooks, an MCP server, and the historical GraphQL API kept available for migration. The src CLI is the long-standing command-line client.

agent aware

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Sourcegraph the way a machine reads it — 37 machine-readable artifacts across 10 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Sourcegraph scores 30.8/100 (thin), with a separate agent-readiness read of 18/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 30.8/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 9.1 / 20
Commercial Clarity 9.5 / 20
Operational Transparency 3.4 / 13
Governance 0.0 / 12
Discoverability 8.8 / 10
Agent readiness — 18/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Sourcegraph

Each block below is one kind of artifact we hold for Sourcegraph. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 10

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Sourcegraph REST API

Versioned external REST API introduced in Sourcegraph 7.0 and intended as the stable integration surface going forward. Each Sourcegraph instance exposes its own /api-reference ...

Sourcegraph GraphQL API

The historical GraphQL API used by most Sourcegraph integrations to date. It is still available but Sourcegraph now recommends migrating to the versioned REST API for compatibil...

Sourcegraph Streaming Search API

Server-sent-event API that streams search results as they are produced, used by the Sourcegraph UI and by integrations that want incremental result delivery instead of batched r...

Sourcegraph Analytics API

API surface for pulling usage and search analytics from a Sourcegraph instance.

Sourcegraph Webhooks

Sourcegraph instances expose three distinct webhook surfaces. Outgoing webhooks (Site Admin > Configuration > Outgoing webhooks) push batch_change, changeset, and user:create ev...

Sourcegraph MCP Server

Model Context Protocol server exposed by Sourcegraph so MCP-compatible AI agents can use Sourcegraph search and code intelligence as tools.

Cody by Sourcegraph

Cody is Sourcegraph's AI coding assistant. It runs inside VS Code and JetBrains IDEs, uses Sourcegraph code intelligence for codebase-aware context, and can write, explain, and ...

Amp Coding Agent

Amp is Sourcegraph's frontier coding agent, designed for pay-as-you-go use against leading AI models. It ships a CLI for macOS, Linux, WSL, and Windows, supports plugins (slash ...

Sourcegraph Deep Search

Deep Search is a natural-language code research agent that answers complex questions about a codebase by combining Sourcegraph search, code intelligence, and AI.

src CLI

src is Sourcegraph's command-line client for code search, code intelligence, batch changes, and administrative operations against a Sourcegraph instance.

Scroll within the panel for all 10 ·

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

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

api

MCP SERVER

GraphQL 1

Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.

GraphQL schemas published by this provider.

Sourcegraph GraphQL API

The historical GraphQL API used by most Sourcegraph integrations to date. It is still available but Sourcegraph now recommends migrating to the versioned REST API for compatibil...

GRAPHQL

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Sourcegraph Rate Limits

2 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

Cost, billing, and metering signals for API financial operations.

Features 9

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Multi-Repo Code Search

Search across every branch of every repository on every code host connected to Sourcegraph.

Code Intelligence

Jump-to-definition, find references, hover documentation, and dependency graphs powered by SCIP indexes.

Batch Changes

Apply large-scale code modifications across many repositories from a single specification.

Cody AI Assistant

Codebase-aware AI assistant for writing, explaining, and fixing code inside VS Code and JetBrains.

Amp Coding Agent

Frontier coding agent with its own CLI, plugin model, and pay-as-you-go pricing.

Deep Search

Natural-language code research agent for complex questions about large codebases.

Versioned REST API

Stable, backwards-compatible REST API introduced in v7.0 with per-instance OpenAPI schema.

Streaming Search and Analytics

SSE streaming search and an analytics API for pulling usage data.

Webhooks and MCP Server

Push events to external systems and expose Sourcegraph as a tool surface to AI agents via MCP.

Scroll within the panel for all 9 ·

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

Sourcegraph Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Sourcegraph Vulnerability Disclosure

disclosure policy published

SECURITY

Sourcegraph Trust Center

SOC 2, ISO 27001, GDPR

SECURITY

Use Cases 5

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

Code Search at Scale

Find anything across millions of lines of code across many repositories.

AI-Assisted Coding

Use Cody and Amp to write, refactor, and fix code with codebase context.

Large-Scale Refactors

Apply consistent changes across hundreds of repositories with Batch Changes.

Codebase Research

Use Deep Search to answer architectural questions about an unfamiliar codebase.

Agentic Code Tooling

Expose Sourcegraph code intelligence as MCP tools for AI agents.

Integrations 5

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

VS Code

Cody and Amp IDE integration for Visual Studio Code.

JetBrains

Cody plugin for JetBrains IDEs.

GitHub, GitLab, Bitbucket

Connects to all major code hosts.

MCP Server

Exposes Sourcegraph as a tool to MCP-compatible AI agents.

Webhooks

Event push to CI, chat, and ticketing systems.

Resources

Every other property we hold for Sourcegraph — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Get Started 1

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Access & Security 3

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/sourcegraph · machine-readable index on apis.io