Enginy

Enginy provides an all‑in‑one B2B sales platform that helps teams prospect, enrich contacts from over 30 data sources, and run multi‑channel outreach campaigns. The solution combines AI‑driven lead finding, enrichment, campaign management, smart inbox, and analytics in a single SaaS product, aiming to streamline the sales workflow and improve conversion rates for businesses.

Enginy is listed with 1 API on the APIs.io network. Tagged areas include B2B, Sales, Artificial Intelligence, Lead Enrichment, and Marketing.

The Enginy catalog on APIs.io includes 1 event-driven AsyncAPI specification, 1 JSON-LD context, and 1 Spectral governance ruleset.

Enginy’s developer surface includes authentication, support, pricing, engineering blog, API reference, getting-started guide, documentation, and 17 more developer resources.

38.5/100 thin Agent 43/100 agent ready Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →
1 API
B2BSalesArtificial IntelligenceLead EnrichmentMarketing

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0
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/.
Show this score on your site. Kin Score badge preview for Enginy It updates itself when the score changes. Paste this where you link to your API docs:
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Raise your score.
Agent readiness — checks not met, largest first (exact, from this profile):
6 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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.
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Enginy Ai · a person reads this and replies by email.
or email info@apis.io
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/enginy-ai/apis.yml: open an issue on github.com/api-evangelist/enginy-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 →

Standards implemented 3

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.

measured — observed by APIs.io (conformant)
measured — observed by APIs.io (verified)
measured — observed by APIs.io (published)

APIs 1

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

Enginy API

Enginy API as documented publicly: 39 operations. Contract generated from the documentation by API Evangelist (2026-11-06); not the provider's own document.

Event Specifications 1

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

Semantic Vocabularies 1

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

Enginy Ai Context

24 classes · 46 properties

JSON-LD

Spectral Rules 1

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

Enginy API Rules

45 rules · 42 error-severity 2 warn-severity 1 info-severity

SPECTRAL

JSON Schema 6

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

GetTasksTaskidResponse

10 properties

JSON SCHEMA

PostV1ActionsRequest

7 properties

JSON SCHEMA

PostV1AiVariablesAiMessagesRequest

7 properties

JSON SCHEMA

PostV1InboxMessagesRequest

4 properties

JSON SCHEMA

PutV1AiPlaybookRequest

6 properties

JSON SCHEMA

Security Posture 2

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

Enginy Authentication

1 scheme

SECURITY

Enginy Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Access & Security 3

Authentication, authorization, and security posture

Operate 2

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

Other 3

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: enginy-ai
name: Enginy
description: Enginy provides an all‑in‑one B2B sales platform that helps teams prospect, enrich contacts from over 30 data
  sources, and run multi‑channel outreach campaigns. The solution combines AI‑driven lead finding, enrichment, campaign management,
  smart inbox, and analytics in a single SaaS product, aiming to streamline the sales workflow and improve conversion rates
  for businesses.
url: https://artifacts.apis.io/enginy-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-06 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-11-06'
modified: '2026-11-06'
tags:
- B2B
- Sales
- Artificial Intelligence
- Lead Enrichment
- Marketing
tags_raw:
- B2B
- Sales
- AI
- LeadEnrichment
- Marketing
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
image: https://www.enginy.ai/og-image.png
common:
- type: Spectral
  url: rules/enginy-ai-rules.yml
- type: JSONLD
  url: json-ld/enginy-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/enginy-ai-vocabulary.yml
- type: Webhooks
  url: asyncapi/enginy-ai-webhooks.yml
- type: DataModel
  url: data-model/enginy-ai-data-model.yml
- type: Authentication
  url: authentication/enginy-ai-authentication.yml
- type: Conformance
  url: conformance/enginy-ai-conformance.yml
- type: LLMsTxt
  url: llms/enginy-ai-llms.txt
- type: AgentCard
  url: a2a/enginy-ai-a2a.yml
- type: SecurityTxt
  url: well-known/enginy-ai-help-security.txt
- type: WellKnown
  url: well-known/enginy-ai-well-known.yml
- type: Hosts
  url: hosts/enginy-ai-hosts.yml
- type: Vendors
  url: vendors/enginy-ai-vendors.yml
- type: TermsOfService
  url: https://www.enginy.ai/terms-of-service
- type: Support
  url: https://help.enginy.ai/
- type: StatusPage
  url: https://status.enginy.ai/
- type: PrivacyPolicy
  url: https://www.enginy.ai/privacy-policy
- type: Pricing
  url: https://www.enginy.ai/pricing
- type: Blog
  url: https://www.enginy.ai/blog
- type: APIReference
  url: https://docs.enginy.ai/api-reference/introduction
- type: GettingStarted
  url: https://help.enginy.ai/en/collections/9565147-start-here
- type: Documentation
  url: https://docs.enginy.ai/
- type: DomainSecurity
  url: security/enginy-ai-domain-security.yml
- type: Website
  url: https://enginy.ai/
apis:
- aid: enginy-ai:enginy-ai-api
  name: Enginy API
  description: 'Enginy API as documented publicly: 39 operations. Contract generated from the documentation by API Evangelist
    (2026-11-06); not the provider''s own document.'
  humanURL: https://docs.enginy.ai/api-reference/custom-crm/endpoints/health.md
  baseURL: https://openapi.enginy.ai
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/enginy-ai-openapi-generated.yml
    x-provenance: generated
  - type: JSONSchema
    url: json-schema/enginy-ai-put-v1-ai-playbook-request-schema.json
  - type: JSONSchema
    url: json-schema/enginy-ai-post-v1-actions-request-schema.json
  - type: JSONSchema
    url: json-schema/enginy-ai-get-tasks-taskid-response-schema.json
  - type: JSONSchema
    url: json-schema/enginy-ai-post-v1-inbox-messages-request-schema.json
  - type: JSONSchema
    url: json-schema/enginy-ai-post-v1-add-contact-group-to-campaign-response-schema.json
  - type: JSONSchema
    url: json-schema/enginy-ai-post-v1-ai-variables-ai-messages-request-schema.json
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: Documentation pages are public but no OpenAPI, AsyncAPI, GraphQL, gRPC, or WSDL contracts were found.
  evidence:
  - url: https://docs.enginy.ai/openapi.json
    status: 404
  checked: '2026-11-07'
x-enrichment:
  date: '2026-11-06'
  status: enriched
  artifacts_added: 30
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Enginy API — frequently asked questions

Does Enginy have an API?

Yes. APIs.io lists 1 API from Enginy, including Enginy API.

Is there an OpenAPI specification for the Enginy API?

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

How do I authenticate with the Enginy API?

Enginy documents its authentication (1 scheme). The details are profiled on APIs.io as Enginy Authentication.

Is the Enginy API ready for AI agents?

Enginy has a Kin Score of 38.5 out of 100 (thin) and an Agent Readiness score of 43.0 (agent-ready), scored by API Evangelist on 2026-11-13.

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