Deeptrace

Deeptrace is an AI SRE (site reliability engineering) agent that automatically investigates and root-causes production alerts by reasoning across logs, traces, metrics, and code. It triages and prioritizes alerts, produces evidence-backed root cause analyses in a couple of minutes, answers natural-language questions about production from Slack or the web app, and can auto-generate remediation such as pull requests and GitHub Actions. Deeptrace connects to the existing toolchain — Datadog, Grafana, New Relic, Sentry, Honeycomb, Coralogix, AWS CloudWatch, PagerDuty, GitHub, Linear, and Slack — to cut mean time to resolution. It exposes a REST API to trigger investigations, poll results, and drive AI chat programmatically. Founded 2025 and backed by Felicis, Matrix, and Y Combinator.

Deeptrace publishes 2 APIs on the APIs.io network: Chat API and Investigations API. Tagged areas include Company, AIOps, Site Reliability Engineering, Observability, and Incident Management.

Deeptrace’s developer surface includes documentation, API reference, getting-started guide, pricing, signup flow, changelog, authentication, and 18 more developer resources.

🌐 Visit website 📡 Source on GitHub
50.4/100 developing ▬ flat Agent 51/100 agent ready Full breakdown ↓
scored 2026-07-23 · rubric v0.5
AccessSelf serve
2 APIs 1 MCP Servers
CompanyAIOpsSite Reliability EngineeringObservabilityIncident ManagementRoot Cause AnalysisMonitoringDevOpsAI Agent

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-23 · rubric v0.5
Composite quality — 50.4/100 · developing
Contract Quality 15.9 / 25
Developer Ergonomics 12.2 / 20
Commercial Clarity 8.9 / 20
Operational Transparency 4.1 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 51/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/deeptrace: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 2

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

Deeptrace Chat API

AI-powered conversational interface over your production systems.

Deeptrace Investigations API

Trigger and retrieve asynchronous root-cause investigations.

MCP Servers 1

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

deeptrace-mcp.yml

MCP SERVER

Security Posture 2

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

Deeptrace Authentication

apiKey/http-bearer · 2 schemes

SECURITY

Deeptrace Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

GettingStarted
GettingStarted
 DeveloperPortal
DeveloperPortal
 SignUp
SignUp
 Login
Login

Documentation 2

Reference material describing how the API behaves

Documentation
Documentation
 APIReference
APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer
MCPServer
 LLMsTxt
LLMsTxt
 AgentSkill
AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions
Conventions
 ErrorCatalog
ErrorCatalog
 Lifecycle
Lifecycle
 Conformance
Conformance
 DataModel
DataModel

Access & Security 2

Authentication, authorization, and security posture

Authentication
Authentication
 DomainSecurity
DomainSecurity

Operate 3

Status, limits, changes, and where to get help

StatusPage
StatusPage
 ChangeLog
ChangeLog
 ChangeLog
ChangeLog

Commercial 3

Pricing, plans, and the legal terms of use

Pricing
Pricing
 TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 3

The organization behind the API

Website
Website
 LinkedIn
LinkedIn
 Twitter
Twitter

Source (apis.yml)

apis.yml Raw ↑ 
aid: deeptrace
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/deeptrace.png
name: Deeptrace
description: Deeptrace is an AI SRE (site reliability engineering) agent that automatically investigates and root-causes production
  alerts by reasoning across logs, traces, metrics, and code. It triages and prioritizes alerts, produces evidence-backed
  root cause analyses in a couple of minutes, answers natural-language questions about production from Slack or the web app,
  and can auto-generate remediation such as pull requests and GitHub Actions. Deeptrace connects to the existing toolchain
  — Datadog, Grafana, New Relic, Sentry, Honeycomb, Coralogix, AWS CloudWatch, PagerDuty, GitHub, Linear, and Slack — to cut
  mean time to resolution. It exposes a REST API to trigger investigations, poll results, and drive AI chat programmatically.
  Founded 2025 and backed by Felicis, Matrix, and Y Combinator.
url: https://raw.githubusercontent.com/api-evangelist/deeptrace/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- felicis
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- AIOps
- Site Reliability Engineering
- Observability
- Incident Management
- Root Cause Analysis
- Monitoring
- DevOps
- AI Agent
apis:
- aid: deeptrace:deeptrace-chat-api
  name: Deeptrace Chat API
  description: AI-powered conversational interface over your production systems.
  humanURL: https://docs.deeptrace.com/api
  baseURL: https://api.deeptrace.com
  tags:
  - Chat
  properties:
  - type: OpenAPI
    url: openapi/deeptrace-chat-api-openapi.yml
  - type: Authentication
    url: authentication/deeptrace-authentication.yml
  - type: Conventions
    url: conventions/deeptrace-conventions.yml
  - type: ErrorCatalog
    url: errors/deeptrace-error-codes.yml
  - type: DataModel
    url: data-model/deeptrace-data-model.yml
  - type: Conformance
    url: conformance/deeptrace-conformance.yml
- aid: deeptrace:deeptrace-investigations-api
  name: Deeptrace Investigations API
  description: Trigger and retrieve asynchronous root-cause investigations.
  humanURL: https://docs.deeptrace.com/api
  baseURL: https://api.deeptrace.com
  tags:
  - Investigations
  properties:
  - type: OpenAPI
    url: openapi/deeptrace-investigations-api-openapi.yml
  - type: Authentication
    url: authentication/deeptrace-authentication.yml
  - type: Conventions
    url: conventions/deeptrace-conventions.yml
  - type: ErrorCatalog
    url: errors/deeptrace-error-codes.yml
  - type: DataModel
    url: data-model/deeptrace-data-model.yml
  - type: Conformance
    url: conformance/deeptrace-conformance.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://deeptrace.com
- type: Documentation
  url: https://docs.deeptrace.com
- type: APIReference
  url: https://docs.deeptrace.com/api
- type: GettingStarted
  url: https://docs.deeptrace.com/integrations
- type: DeveloperPortal
  url: https://docs.deeptrace.com
- type: Pricing
  url: https://deeptrace.com/#pricing
- type: SignUp
  url: https://app.deeptrace.com/sign-up
- type: Login
  url: https://app.deeptrace.com/sign-in
- type: TermsOfService
  url: https://deeptrace.com/terms-of-service
- type: PrivacyPolicy
  url: https://deeptrace.com/privacy-policy
- type: StatusPage
  url: https://status.deeptrace.com
- type: ChangeLog
  url: https://docs.deeptrace.com/changelog
- type: Authentication
  url: authentication/deeptrace-authentication.yml
- type: Conventions
  url: conventions/deeptrace-conventions.yml
- type: ErrorCatalog
  url: errors/deeptrace-error-codes.yml
- type: Lifecycle
  url: lifecycle/deeptrace-lifecycle.yml
- type: Conformance
  url: conformance/deeptrace-conformance.yml
- type: DataModel
  url: data-model/deeptrace-data-model.yml
- type: MCPServer
  url: mcp/deeptrace-mcp.yml
- type: LLMsTxt
  url: llms/deeptrace-llms.txt
- type: DomainSecurity
  url: security/deeptrace-domain-security.yml
- type: ChangeLog
  url: changelog/deeptrace-changelog.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/deeptrace-ai
- type: Twitter
  url: https://twitter.com/deeptraceai
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence