AlgoDriven

AlgoDriven is an automotive AI company that helps car dealerships, banks, insurers, fleet operators, marketplaces, and OEMs appraise, inspect, and price used vehicles using proprietary data-driven applications. Its products include EvalExpert (automated car valuation and price guide built on millions of data points), DriveExpert (test-drive, loan-car, and staff-car management with analytics), and InspectExpert (customised vehicle inspection software), backed by developer APIs for vehicle search and data, valuations, specifications, and vehicle history reports. Founded in 2017 and expanded across the MENA region, New Zealand, and beyond, AlgoDriven runs offices in Australia, the UAE, and Egypt, and is a portfolio company of 500 Global.

AlgoDriven publishes 1 API contract indexed on the APIs.io network: Vehicle History Report API. Tagged areas include Company, Automotive, Vehicle Data, Car Valuation, and Vehicle Inspection.

The AlgoDriven catalog on APIs.io includes 1 Spectral governance ruleset.

AlgoDriven’s developer surface includes pricing, engineering blog, authentication, documentation, API reference, support, and 20 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

39.5/100 developing ▬ flat Agent 25/100 agent aware Front door AI 5/6 prominent Heartbeat 49/100 slowing saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessEnterprise

1 published contract 1 Agent Skills

Company Automotive Vehicle DataCar ValuationVehicle Inspection Artificial Intelligence Vehicle HistoryAutomotive Data Intelligence

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 39.5/100 · developing

Contract Quality 10.2 / 19

Developer Ergonomics 7.8 / 15

Access Clarity 4.8 / 15

Operational Transparency 0.5 / 10

Contract Governance 1.6 / 9

Discoverability 5.5 / 8

Regulatory Posture 2.0 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 25/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 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 7 / 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

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 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/.

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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 Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented) Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →

8 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 31.9 — up to +13.6 composite points Ask about this →
Operational Transparency scores 4.8 — up to +12.4 composite points Ask about this →
Contract Quality scores 54.4 — up to +11.4 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/algodriven/apis.yml: open an issue on github.com/api-evangelist/algodriven 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 →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

APIs 1

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

AlgoDriven Vehicle History Report API

Generate and retrieve GCC/UAE vehicle history reports as PDF.

Open Collections 2

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

API Collection

OPEN COLLECTION

AlgoDriven - UAE Vehicle History Report API

OPEN COLLECTION

Arazzo Workflows 1

Multi-step API workflows described with the Arazzo specification.

AlgoDriven — generate and retrieve a UAE vehicle history report

Generate a GCC/UAE vehicle history report for a VIN, then poll until the PDF report URL is available.

ARAZZO

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

Generate and retrieve a UAE vehicle history report

AGENT SKILL

AlgoDriven API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

AlgoDriven Plans Pricing

0 plans

PLANS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

AlgoDriven

21 quoted statements, read from AlgoDriven's own page on 2026-11-09.

PRIVACY

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

AlgoDriven API Rules

56 rules · 54 error-severity 1 warn-severity 1 info-severity

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

AlgoDriven Vehicle History Overlay

3 actions · update · algodriven-vehicle-history-openapi.yml

DERIVED

Security Posture 2

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

AlgoDriven Authentication

apiKey · 1 scheme

SECURITY

AlgoDriven Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

Recommended x-agentic-access execution contracts for AI agents.

AlgoDriven Agentic Access

2 operations · 1 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

X-MCPServerCandidate

X-MCPServerCandidate

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Conventions

Lifecycle

Conformance

DataModel

Build 2

SDKs, sample code, and the tooling you integrate with

Postman

Postman

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

Plans

Plans

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Blog

BlogRSS

Blog

Website

Other 2

Properties that don't map to a standard resource type

Overlay

Overlay

DataProcessing

DataProcessing

Source (apis.yml)

aid: algodriven
name: AlgoDriven
description: AlgoDriven is an automotive AI company that helps car dealerships, banks, insurers, fleet operators, marketplaces,
  and OEMs appraise, inspect, and price used vehicles using proprietary data-driven applications. Its products include EvalExpert
  (automated car valuation and price guide built on millions of data points), DriveExpert (test-drive, loan-car, and staff-car
  management with analytics), and InspectExpert (customised vehicle inspection software), backed by developer APIs for vehicle
  search and data, valuations, specifications, and vehicle history reports. Founded in 2017 and expanded across the MENA region,
  New Zealand, and beyond, AlgoDriven runs offices in Australia, the UAE, and Egypt, and is a portfolio company of 500 Global.
url: https://raw.githubusercontent.com/api-evangelist/algodriven/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
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: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://algodriven.xyz/wp-content/uploads/2022/04/cropped-algodriven-favicon-192x192.png
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
x-docs-platform: postman
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-09-17
tags:
- Company
- Automotive
- Vehicle Data
- Car Valuation
- Vehicle Inspection
- Artificial Intelligence
- Vehicle History
- Automotive Data Intelligence
apis:
- aid: algodriven:algodriven-vehicle-history-report-api
  name: AlgoDriven Vehicle History Report API
  description: Generate and retrieve GCC/UAE vehicle history reports as PDF.
  humanURL: https://algodriven.xyz/developers/
  baseURL: https://algodriven.io/v1
  tags:
  - Vehicle History Report
  properties:
  - type: OpenAPI
    url: openapi/algodriven-vehicle-history-report-api-openapi.yml
  - type: Postman
    url: https://api.algodriven.xyz/
  - type: PostmanCollection
    url: openapi/algodriven-vehicle-history-postman.json
  - type: Arazzo
    url: arazzo/algodriven-vehicle-history-report.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Pricing
  url: https://algodriven.xyz/insights/
- type: Plans
  url: plans/algodriven-plans-pricing.yml
- url: https://algodriven.xyz/insights/
  type: Blog
- url: https://algodriven.xyz/feed.xml
  type: BlogRSS
- type: Overlay
  url: overlays/algodriven-vehicle-history-overlay.yaml
- type: DomainSecurity
  url: security/algodriven-domain-security.yml
- type: AgenticAccess
  url: agentic-access/algodriven-agentic-access.yml
- type: Authentication
  url: authentication/algodriven-authentication.yml
- type: Conventions
  url: conventions/algodriven-conventions.yml
- type: Lifecycle
  url: lifecycle/algodriven-lifecycle.yml
- type: Conformance
  url: conformance/algodriven-conformance.yml
- type: DataModel
  url: data-model/algodriven-data-model.yml
- type: X-MCPServerCandidate
  url: mcp/algodriven-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/algodriven-llms.txt
- type: AgentSkill
  url: skills/_index.yml
- type: Postman
  url: https://api.algodriven.xyz/
- type: DeveloperPortal
  url: https://algodriven.xyz/developers/
- type: Documentation
  url: https://algodriven.xyz/developers/
- type: APIReference
  url: https://api.algodriven.xyz/
- type: Blog
  url: https://algodriven.xyz/resources/
- type: Support
  url: https://algodriven.xyz/contact-us/
- type: Login
  url: https://dashboard.algodriven.co
- type: PrivacyPolicy
  url: https://algodriven.xyz/privacy-policy/
- type: GitHubOrganization
  url: https://github.com/algodriven
- type: Website
  url: https://algodriven.xyz
- type: DataProcessing
  url: privacy/algodriven-privacy-policy.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

AlgoDriven API — frequently asked questions

Does AlgoDriven have an API?

Yes. APIs.io lists 1 API from AlgoDriven, including AlgoDriven Vehicle History Report API.

Is there an OpenAPI specification for the AlgoDriven API?

Yes. APIs.io indexes 1 OpenAPI specification for AlgoDriven, each linked for download from this page.

How do I authenticate with the AlgoDriven API?

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

Is the AlgoDriven API ready for AI agents?

AlgoDriven has a Kin Score of 39.5 out of 100 (developing) and an Agent Readiness score of 24.8 (agent-aware), scored by API Evangelist on 2026-11-13.

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