Abacus.ai website screenshot

Abacus.ai

Abacus.AI is a San Francisco-based artificial intelligence platform that positions itself as an end-to-end AI system for professionals and enterprises. Its ChatLLM product gives individuals and small teams a single interface to more than 100 AI models (GPT, Claude, Gemini and others) plus AI agents and app building, while the Abacus.AI Enterprise platform delivers enterprise generative AI, structured machine learning (predictive modeling, forecasting, personalization) and optimization. Developers integrate the platform through a documented REST API and a first-party Python client library (the abacusai PyPI package), authenticating with an API key. This profile is maintained by the API Evangelist network and enriched from Abacus.AI's public developer surface.

Abacus.ai publishes 1 API on the APIs.io network. Tagged areas include Company, Ai Ml, Artificial Intelligence, Machine-Learning, and Generative AI.

Abacus.ai’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, pricing, signup flow, and 16 more developer resources.

36.5/100 thin ▬ flat Agent 3/100 human only saas Full breakdown ↓
scored 2026-08-30 · rubric v0.17.2
AccessSelf serve
1 APIs
CompanyAi MlArtificial IntelligenceMachine-LearningGenerative AILLMAI AgentsMLOpsEnterprise AIData Science

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-30 · rubric v0.17.2
Composite quality — 36.5/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 12.9 / 20
Access Clarity 12.1 / 20
Operational Transparency 1.7 / 13
Contract Governance 2.2 / 12
Discoverability 7.6 / 10
Agent readiness — 3/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 10 / 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 Surface 0 / 5
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/abacusai: 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 1

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

Abacus.AI API

The Abacus.AI REST API and first-party Python client library for building generative AI, agent, and structured ML applications on the Abacus.AI platform. Authentication is via a...

Security Posture 4

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

Abacusai Authentication

apiKey · 1 scheme

SECURITY

Abacusai Domain Security

TLSv1.3 · DNSSEC · DMARC

SECURITY

Abacusai Vulnerability Disclosure

contact published

SECURITY

Abacusai Trust Center

SOC 2, ISO 27001, HIPAA, GDPR

SECURITY

Resources

Get Started 4

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

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 6

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: abacusai
name: Abacus.ai
description: Abacus.AI is a San Francisco-based artificial intelligence platform that positions itself as an end-to-end AI
  system for professionals and enterprises. Its ChatLLM product gives individuals and small teams a single interface to more
  than 100 AI models (GPT, Claude, Gemini and others) plus AI agents and app building, while the Abacus.AI Enterprise platform
  delivers enterprise generative AI, structured machine learning (predictive modeling, forecasting, personalization) and optimization.
  Developers integrate the platform through a documented REST API and a first-party Python client library (the abacusai PyPI
  package), authenticating with an API key. This profile is maintained by the API Evangelist network and enriched from Abacus.AI's
  public developer surface.
url: https://raw.githubusercontent.com/api-evangelist/abacusai/refs/heads/main/apis.yml
x-type: company
x-source: index-ventures-portfolio
x-tier: stub
x-tier-reason: portfolio-lead
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: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
image: https://abacus.ai/favicon.ico
tags:
- Company
- Ai Ml
- Artificial Intelligence
- Machine-Learning
- Generative AI
- LLM
- AI Agents
- MLOps
- Enterprise AI
- Data Science
tags_raw:
- Company
- Ai Ml
- Artificial Intelligence
- Machine Learning
- Generative AI
- LLM
- AI Agents
- MLOps
- Enterprise AI
- Data Science
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- name: Abacus.AI API
  description: The Abacus.AI REST API and first-party Python client library for building generative AI, agent, and structured
    ML applications on the Abacus.AI platform. Authentication is via an API key generated from the user profile.
  humanURL: https://abacus.ai/help/api/
  baseURL: https://api.abacus.ai
  tags:
  - Artificial Intelligence
  - Machine-Learning
  - Generative AI
  tags_raw:
  - Artificial Intelligence
  - Machine Learning
  - Generative AI
  properties:
  - type: APIReference
    url: https://abacus.ai/help/api/
  - type: GettingStarted
    url: https://abacus.ai/help/python-sdk/getting-started
  - type: Documentation
    url: https://abacusai.github.io/api-python/autoapi/abacusai/index.html
  - type: Authentication
    url: authentication/abacusai-authentication.yml
  - type: SDKs
    url: packages/abacusai-packages.yml
  - type: Packages
    url: packages/abacusai-packages.yml
common:
- type: Website
  url: https://abacus.ai/
- type: DeveloperPortal
  url: https://abacus.ai/help/developer-platform/introduction
- type: Documentation
  url: https://abacus.ai/help/
- type: APIReference
  url: https://abacus.ai/help/api/
- type: GettingStarted
  url: https://abacus.ai/help/python-sdk/getting-started
- type: Blog
  url: https://blog.abacus.ai/
- type: GitHubOrganization
  url: https://github.com/abacusai
- type: Support
  url: https://abacus.ai/help/
- type: Pricing
  url: https://abacus.ai/pricing
- type: SignUp
  url: https://apps.abacus.ai/chatllm/?isSignUp=1
- type: Login
  url: https://apps.abacus.ai/chatllm/
- type: TermsOfService
  url: https://abacus.ai/terms
- type: PrivacyPolicy
  url: https://abacus.ai/privacy
- type: Authentication
  url: authentication/abacusai-authentication.yml
- type: Packages
  url: packages/abacusai-packages.yml
- type: SDKs
  url: packages/abacusai-packages.yml
- type: DomainSecurity
  url: security/abacusai-domain-security.yml
- type: VulnerabilityDisclosure
  url: security/abacusai-vulnerability-disclosure.yml
- type: Security
  url: https://abacus.ai/security
- type: TrustCenter
  url: security/abacusai-trust-center.yml
- type: Compliance
  url: https://abacus.ai/security
- type: Conformance
  url: conformance/abacusai-conformance.yml
- type: LLMsTxt
  url: llms/abacusai-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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