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 is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Generative AI, and LLM.

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

🌐 Visit website 📡 Profile data on GitHub

38.0/100 thin ▬ flat Agent 3/100 human only Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 API

Company Artificial Intelligence Machine Learning Generative AI LLM AI Agents MLOps Enterprise AI Data Science

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 38.0/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 10.9 / 17

Access Clarity 10.3 / 17

Operational Transparency 1.7 / 11

Contract Governance 1.9 / 10

Discoverability 5.6 / 9

Regulatory Posture 4.9 / 15

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 Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics 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
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

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
Operational Transparency scores 15.8 — up to +10.9 composite points
Contract Governance scores 18.2 — up to +9.8 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/abacusai/apis.yml: open an issue on github.com/api-evangelist/abacusai 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)	distribution	9.6 (thin)	-	-
Zoom App Marketplace and Partner Ecosystem (builders and partners on Zoom)	distribution	9.6 (thin)	-	-
Hugging Face Hub Organisations	distribution	9.6 (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.

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

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 6

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

TrustCenter

TrustCenter

Compliance

Compliance

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

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: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
image: https://abacus.ai/favicon.ico
tags:
- Company
- 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
- Machine-Learning
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
  - Machine-Learning
  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

Abacus.ai API — frequently asked questions

Does Abacus.ai have an API?

Yes. APIs.io lists 1 API from Abacus.ai, including Abacus.AI API.

How do I authenticate with the Abacus.ai API?

Abacus.ai uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Abacusai Authentication.

Is the Abacus.ai API ready for AI agents?

Abacus.ai has a Kin Score of 38.0 out of 100 (thin) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-10-31.

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MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

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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.
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