onedroid-ai

OneDroid Argus provides automated end-to-end testing for AI‑written code, enabling companies to integrate testing at the same cost scale as AI coding. The platform offers tools like Argus, Synapse, and Engram, with documentation, enterprise options, and pricing plans. It aims to reduce testing budgets while maintaining quality, positioning itself as a critical component in AI‑driven software development workflows.

onedroid-ai publishes 2 API contracts indexed on the APIs.io network, including Trilix MCP Assistant Api API, and 1 more. Tagged areas include Company, AI, Testing, Automation, and End-to-End.

The onedroid-ai catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

onedroid-ai’s developer surface includes changelog, authentication, pricing, engineering blog, getting-started guide, documentation, and 19 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

46.1/100 developing Agent 35/100 agent ready Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 published contract

CompanyAITesting AutomationEnd-to-End

Kin Score

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

Composite quality — 46.1/100 · developing

Contract Quality 9.3 / 21

Developer Ergonomics 6.1 / 17

Access Clarity 11.6 / 17

Operational Transparency 3.5 / 11

Contract Governance 2.2 / 10

Discoverability 4.9 / 9

Regulatory Posture 4.1 / 15

Agent readiness — 35/100 · agent ready

Machine-Readable Contract 18 / 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 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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 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
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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

7 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 43.9 — up to +14.0 composite points
Developer Ergonomics scores 35.7 — up to +12.9 composite points
Contract Governance scores 22.0 — up to +9.4 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/onedroid-ai/apis.yml: open an issue on github.com/api-evangelist/onedroid-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 →

APIs 2

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

OneDroid Synapse API

API for OneDroid Synapse platform, providing AI‑testing integration and tool orchestration.

Trilix MCP Assistant Api API

Atlassian (Confluence, Jira), Gmail, Microsoft 365, and connected MCP upstream tools via Trilix MCP Server.

Pricing Plans 1

Published pricing tiers and plan structures.

Onedroid Ai Plans Pricing

1 plans

PLANS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Onedroid Ai Context

1 classes · 1 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

onedroid-ai API Rules

11 rules · 9 errors 1 warnings 1 info

SPECTRAL

JSON Schema 1

Standalone JSON Schema definitions for this provider's data models.

GenericResponse

1 properties

JSON SCHEMA

Security Posture 3

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

Onedroid Ai Authentication

1 scheme

SECURITY

Onedroid Ai Domain Security

TLSv1.3 · HSTS

SECURITY

Onedroid Ai Trust Center

SOC 2, ISO 27001, HIPAA

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 5

Authentication, authorization, and security posture

Compliance

Authentication

Security

TrustCenter

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

ChangeLog

ChangeLog

Commercial 4

Pricing, plans, and the legal terms of use

Plans

TermsOfService

PrivacyPolicy

Pricing

Company 2

The organization behind the API

Blog

Blog

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: onedroid-ai
name: onedroid-ai
image: https://onedroid.ai/assets/og-wordmark.png
description: OneDroid Argus provides automated end-to-end testing for AI‑written code, enabling companies to integrate testing
  at the same cost scale as AI coding. The platform offers tools like Argus, Synapse, and Engram, with documentation, enterprise
  options, and pricing plans. It aims to reduce testing budgets while maintaining quality, positioning itself as a critical
  component in AI‑driven software development workflows.
url: https://artifacts.apis.io/onedroid-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-30 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- Company
- AI
- Testing
- Automation
- End-to-End
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/onedroid-ai-plans-pricing.yml
- type: Spectral
  url: rules/onedroid-ai-rules.yml
- type: JSONLD
  url: json-ld/onedroid-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/onedroid-ai-vocabulary.yml
- type: DataModel
  url: data-model/onedroid-ai-data-model.yml
- type: ChangeLog
  url: changelog/onedroid-ai-changelog.yml
- type: Compliance
  url: https://onedroid.ai/security
- type: Authentication
  url: authentication/onedroid-ai-authentication.yml
- type: Conformance
  url: conformance/onedroid-ai-conformance.yml
- type: LLMsTxt
  url: llms/onedroid-ai-llms.txt
- type: WellKnown
  url: well-known/onedroid-ai-well-known.yml
- type: Hosts
  url: hosts/onedroid-ai-hosts.yml
- type: Vendors
  url: vendors/onedroid-ai-vendors.yml
- type: TermsOfService
  url: https://onedroid.ai/terms
- type: Security
  url: https://onedroid.ai/security
- type: PrivacyPolicy
  url: https://onedroid.ai/privacy
- type: Pricing
  url: https://onedroid.ai/pricing
- type: GitHubOrganization
  url: https://github.com/OneDro1d
- type: ChangeLog
  url: https://onedroid.ai/changelog
- type: Blog
  url: https://onedroid.ai/blog
- type: GettingStarted
  url: https://onedroid.ai/quickstart
- type: Documentation
  url: https://docs.onedroid.ai/
- type: TrustCenter
  url: security/onedroid-ai-trust-center.yml
- type: DomainSecurity
  url: security/onedroid-ai-domain-security.yml
- type: Website
  url: https://onedroid.ai/
apis:
- name: OneDroid Synapse API
  description: API for OneDroid Synapse platform, providing AI‑testing integration and tool orchestration.
  humanURL: https://docs.onedroid.ai
  baseURL: null
  aid: onedroid-ai:onedroid-synapse-api
- aid: onedroid-ai:trilix-mcp-assistant-api-api
  name: Trilix MCP Assistant Api API
  description: Atlassian (Confluence, Jira), Gmail, Microsoft 365, and connected MCP upstream tools via Trilix MCP Server.
  humanURL: https://synapse.onedroid.ai/openapi.json
  baseURL: https://synapse.onedroid.ai
  properties:
  - type: OpenAPI
    url: openapi/_original/onedroid-ai-api-openapi.json
  - type: JSONSchema
    url: json-schema/onedroid-ai-generic-response-schema.json
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: OpenAPI spec at https://synapse.onedroid.ai/openapi.json is not owned by OneDroid AI, describing a Trilix MCP Assistant.
  evidence:
  - url: https://synapse.onedroid.ai/openapi.json
    status: 200
  checked: '2026-10-30'
x-enrichment:
  date: '2026-10-30'
  status: enriched
  artifacts_added: 25
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

onedroid-ai API — frequently asked questions

Does onedroid-ai have an API?

Yes. APIs.io lists 2 APIs from onedroid-ai, including OneDroid Synapse API and Trilix MCP Assistant Api API.

Is there an OpenAPI specification for the onedroid-ai API?

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

How do I authenticate with the onedroid-ai API?

onedroid-ai documents its authentication (1 scheme). The details are profiled on APIs.io as Onedroid Ai Authentication.

How much does the onedroid-ai API cost?

APIs.io lists 1 pricing plan for onedroid-ai, with each plan's price, limits and inclusions under Pricing Plans on this page.

Is the onedroid-ai API ready for AI agents?

onedroid-ai has a Kin Score of 46.1 out of 100 (developing) and an Agent Readiness score of 34.5 (agent-ready), scored by API Evangelist on 2026-10-31.

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