Deeptrace website screenshot

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.

42.9/100 developing ▬ flat Agent 22/100 agent aware Front door AI 3/6 light saas Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0
1 APIs
CompanyAIOpsSite Reliability EngineeringObservabilityIncident ManagementRoot Cause AnalysisMonitoringDevOpsAI Agents

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0
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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.
The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
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/deeptrace: 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 →

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.

Open Collections 3

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Deeptrace REST Chat API

OPEN COLLECTION

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

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Access & Security 2

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: deeptrace
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  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: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-25
x-docs-hosting: vercel
tags:
- Company
- AIOps
- Site Reliability Engineering
- Observability
- Incident Management
- Root Cause Analysis
- Monitoring
- DevOps
- AI Agents
tags_raw:
- 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: X-MCPServerCandidate
  url: mcp/deeptrace-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- 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

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