Abwab Ai

Abwab.ai is an AI-powered credit intelligence platform for MSME (micro, small, and medium enterprise) lending, used by banks, NBFIs, fintechs, funds, and digital platforms to originate loans, assess credit risk, price, and monitor MSME loan portfolios across the full lending lifecycle. The platform combines rules and AI models for real-time credit decisioning, agentic credit intelligence that surfaces leads and flags portfolio risk, and embedded financing for existing SME platforms. It is API-first, plugging into existing loan-origination and core-banking systems without core replacement, with a versioned REST API (api.abwab.ai), webhook notifications, and Python/Node.js SDKs in development. Abwab is focused on the Saudi Arabian market with in-Kingdom data residency and alignment to the SAMA Cybersecurity Framework, PDPL, and Sharia-compliant lending (used by Kafalah). Backed by Speedinvest.

Abwab Ai is listed with 1 API on the APIs.io network. Tagged areas include Company, MSME Lending, Credit Intelligence, Credit Decisioning, and Credit Scoring.

The Abwab Ai catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Abwab Ai’s developer surface includes documentation, API reference, engineering blog, support, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

33.7/100 thin ▬ flat Agent 17/100 agent aware Front door AI 4/6 moderate Heartbeat 0/100 dormant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API

CompanyMSME LendingCredit Intelligence Credit Decisioning Credit Scoring Fintech Embedded Finance Lending Saudi Arabia Artificial Intelligence

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 33.7/100 · thin

Contract Quality 8.3 / 21

Developer Ergonomics 5.7 / 17

Access Clarity 4.9 / 17

Operational Transparency 0.9 / 11

Contract Governance 1.9 / 10

Discoverability 6.2 / 9

Regulatory Posture 3.3 / 15

Agent readiness — 17/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 6 / 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

MCP Tool Quality 6 / 6

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 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):

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
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

11 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 39.0 — up to +15.3 composite points
Access Clarity scores 28.9 — up to +14.2 composite points
Developer Ergonomics scores 33.3 — up to +13.3 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/abwab-ai/apis.yml: open an issue on github.com/api-evangelist/abwab-ai 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
Consumer Lending Licensing (UK, US, Canada credit licence registers)	undeclared	-	-	-

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.

Abwab.ai Credit Intelligence API

Versioned REST API for MSME credit assessment and decisioning. Submits applications for real-time scoring and returns a decision, risk flags, and pricing (e.g. POST /v1/assessme...

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Abwab Ai Webhooks

ASYNCAPI

Security Posture 1

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

Abwab Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

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 2

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Lifecycle

Lifecycle

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Compliance

Compliance

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: abwab-ai
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:
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/abwab-ai.png
name: Abwab Ai
description: Abwab.ai is an AI-powered credit intelligence platform for MSME (micro, small, and medium enterprise) lending,
  used by banks, NBFIs, fintechs, funds, and digital platforms to originate loans, assess credit risk, price, and monitor
  MSME loan portfolios across the full lending lifecycle. The platform combines rules and AI models for real-time credit decisioning,
  agentic credit intelligence that surfaces leads and flags portfolio risk, and embedded financing for existing SME platforms.
  It is API-first, plugging into existing loan-origination and core-banking systems without core replacement, with a versioned
  REST API (api.abwab.ai), webhook notifications, and Python/Node.js SDKs in development. Abwab is focused on the Saudi Arabian
  market with in-Kingdom data residency and alignment to the SAMA Cybersecurity Framework, PDPL, and Sharia-compliant lending
  (used by Kafalah). Backed by Speedinvest.
url: https://raw.githubusercontent.com/api-evangelist/abwab-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- speedinvest
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- MSME Lending
- Credit Intelligence
- Credit Decisioning
- Credit Scoring
- Fintech
- Embedded Finance
- Lending
- Saudi Arabia
- Artificial Intelligence
apis:
- name: Abwab.ai Credit Intelligence API
  description: Versioned REST API for MSME credit assessment and decisioning. Submits applications for real-time scoring and
    returns a decision, risk flags, and pricing (e.g. POST /v1/assessments). Supports webhook notifications for assessment
    completion and status changes.
  humanURL: https://abwab.ai/platform/api
  baseURL: https://api.abwab.ai
  tags:
  - Credit Intelligence
  - Credit Decisioning
  - MSME Lending
  properties:
  - type: Webhooks
    url: asyncapi/abwab-ai-webhooks.yml
  - type: Conventions
    url: conventions/abwab-ai-conventions.yml
common:
- type: DomainSecurity
  url: security/abwab-ai-domain-security.yml
- type: Website
  url: https://abwab.ai
- type: DeveloperPortal
  url: https://abwab.ai/docs
- type: Documentation
  url: https://abwab.ai/docs
- type: APIReference
  url: https://abwab.ai/docs
- type: Blog
  url: https://abwab.ai/blog
- type: Support
  url: https://abwab.ai/contact
- type: TermsOfService
  url: https://abwab.ai/terms
- type: PrivacyPolicy
  url: https://abwab.ai/privacy
- type: Compliance
  url: https://abwab.ai/platform/compliance
- type: Conformance
  url: conformance/abwab-ai-conformance.yml
- type: Lifecycle
  url: lifecycle/abwab-ai-lifecycle.yml
- type: LLMsTxt
  url: llms/abwab-ai-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Abwab Ai API — frequently asked questions

Does Abwab Ai have an API?

Yes. APIs.io lists 1 API from Abwab Ai, including Abwab.ai Credit Intelligence API.

Is the Abwab Ai API ready for AI agents?

Abwab Ai has a Kin Score of 33.7 out of 100 (thin) and an Agent Readiness score of 17.3 (agent-aware), scored by API Evangelist on 2026-11-06.

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