Vectorize website screenshot

Vectorize

Vectorize is a RAG (retrieval-augmented generation) pipeline platform that ingests unstructured data, chunks and embeds it, and serves low-latency retrieval against a managed vector database. The Vectorize API lets developers create, start, and stop RAG pipelines, run retrieval, manage source / destination / AI-platform connectors, upload files, extract documents with Iris, and run deep research.

Vectorize publishes 8 APIs on the APIs.io network, including AI Platform Connectors API, Destination Connectors API, Extraction API, and 5 more. Tagged areas include AI, RAG, Vectorization, Embeddings, and Retrieval.

Vectorize’s developer surface includes authentication, documentation, engineering blog, and 8 more developer resources.

38.9/100 thin ▬ flat Agent 31/100 agent aware Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
AccessFreemiumSelf serve⚡ Free to try
8 APIs
AIRAGVectorizationEmbeddingsRetrievalVector Database

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1
Composite quality — 38.9/100 · thin
Contract Quality 14.5 / 25
Developer Ergonomics 4.3 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 4.8 / 13
Governance 0.0 / 12
Discoverability 7.4 / 10
Agent readiness — 31/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
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 7 / 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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/vectorize-io: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 8

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

Vectorize AI Platform Connectors API

Manage AI platform (embedding / model) connectors.

Vectorize Destination Connectors API

Manage destination (vector database) connectors.

Vectorize Extraction API

Vectorize Iris document extraction.

Vectorize Files API

Upload generic files to the platform.

Vectorize Pipelines API

Create and operate RAG pipelines, retrieval, and deep research.

Vectorize Source Connectors API

Manage data source connectors.

Vectorize Uploads API

Push and manage files against File Upload connectors.

Vectorize Workspaces API

List and retrieve workspaces.

Scroll for all 8

Open Collections 1

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

Vectorize API

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Vectorize Io Rate Limits

6 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Security Posture 2

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

Vectorize Io Authentication

http · 1 scheme

SECURITY

Vectorize Io Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

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

Vectorize Io Agentic Access

37 operations · 22 acting · 1 human-in-the-loop

37 operations · 22 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: vectorize-io
url: https://raw.githubusercontent.com/api-evangelist/vectorize-io/refs/heads/main/apis.yml
name: Vectorize
kind: company
description: Vectorize is a RAG (retrieval-augmented generation) pipeline platform that ingests unstructured data, chunks
  and embeds it, and serves low-latency retrieval against a managed vector database. The Vectorize API lets developers create,
  start, and stop RAG pipelines, run retrieval, manage source / destination / AI-platform connectors, upload files, extract
  documents with Iris, and run deep research.
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/vectorize-io.png
tags:
- AI
- RAG
- Vectorization
- Embeddings
- Retrieval
- Vector Database
created: '2026-06-20'
modified: '2026-06-20'
specificationVersion: '0.19'
apis:
- aid: vectorize-io:vectorize-io-ai-platform-connectors-api
  name: Vectorize AI Platform Connectors API
  description: Manage AI platform (embedding / model) connectors.
  humanURL: https://docs.vectorize.io/reference/api/api-getting-started/
  baseURL: https://api.vectorize.io/v1
  tags:
  - AI Platform Connectors
  properties:
  - type: OpenAPI
    url: openapi/vectorize-io-ai-platform-connectors-api-openapi.yml
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/
  - type: APIReference
    url: https://docs.vectorize.io/reference/api/api-getting-started/
  - type: PostmanCollection
    url: collections/vectorize-io.postman_collection.json
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/retrieval-endpoint/
  - type: Documentation
    url: https://docs.vectorize.io/integrations/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-sources/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/extract-information/understanding-iris/
- aid: vectorize-io:vectorize-io-destination-connectors-api
  name: Vectorize Destination Connectors API
  description: Manage destination (vector database) connectors.
  humanURL: https://docs.vectorize.io/reference/api/api-getting-started/
  baseURL: https://api.vectorize.io/v1
  tags:
  - Destination Connectors
  properties:
  - type: OpenAPI
    url: openapi/vectorize-io-destination-connectors-api-openapi.yml
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/
  - type: APIReference
    url: https://docs.vectorize.io/reference/api/api-getting-started/
  - type: PostmanCollection
    url: collections/vectorize-io.postman_collection.json
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/retrieval-endpoint/
  - type: Documentation
    url: https://docs.vectorize.io/integrations/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-sources/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/extract-information/understanding-iris/
- aid: vectorize-io:vectorize-io-extraction-api
  name: Vectorize Extraction API
  description: Vectorize Iris document extraction.
  humanURL: https://docs.vectorize.io/reference/api/api-getting-started/
  baseURL: https://api.vectorize.io/v1
  tags:
  - Extraction
  properties:
  - type: OpenAPI
    url: openapi/vectorize-io-extraction-api-openapi.yml
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/
  - type: APIReference
    url: https://docs.vectorize.io/reference/api/api-getting-started/
  - type: PostmanCollection
    url: collections/vectorize-io.postman_collection.json
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/retrieval-endpoint/
  - type: Documentation
    url: https://docs.vectorize.io/integrations/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-sources/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/extract-information/understanding-iris/
- aid: vectorize-io:vectorize-io-files-api
  name: Vectorize Files API
  description: Upload generic files to the platform.
  humanURL: https://docs.vectorize.io/reference/api/api-getting-started/
  baseURL: https://api.vectorize.io/v1
  tags:
  - Files
  properties:
  - type: OpenAPI
    url: openapi/vectorize-io-files-api-openapi.yml
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/
  - type: APIReference
    url: https://docs.vectorize.io/reference/api/api-getting-started/
  - type: PostmanCollection
    url: collections/vectorize-io.postman_collection.json
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/retrieval-endpoint/
  - type: Documentation
    url: https://docs.vectorize.io/integrations/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-sources/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/extract-information/understanding-iris/
- aid: vectorize-io:vectorize-io-pipelines-api
  name: Vectorize Pipelines API
  description: Create and operate RAG pipelines, retrieval, and deep research.
  humanURL: https://docs.vectorize.io/reference/api/api-getting-started/
  baseURL: https://api.vectorize.io/v1
  tags:
  - Pipelines
  properties:
  - type: OpenAPI
    url: openapi/vectorize-io-pipelines-api-openapi.yml
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/
  - type: APIReference
    url: https://docs.vectorize.io/reference/api/api-getting-started/
  - type: PostmanCollection
    url: collections/vectorize-io.postman_collection.json
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/retrieval-endpoint/
  - type: Documentation
    url: https://docs.vectorize.io/integrations/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-sources/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/extract-information/understanding-iris/
- aid: vectorize-io:vectorize-io-source-connectors-api
  name: Vectorize Source Connectors API
  description: Manage data source connectors.
  humanURL: https://docs.vectorize.io/reference/api/api-getting-started/
  baseURL: https://api.vectorize.io/v1
  tags:
  - Source Connectors
  properties:
  - type: OpenAPI
    url: openapi/vectorize-io-source-connectors-api-openapi.yml
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/
  - type: APIReference
    url: https://docs.vectorize.io/reference/api/api-getting-started/
  - type: PostmanCollection
    url: collections/vectorize-io.postman_collection.json
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/retrieval-endpoint/
  - type: Documentation
    url: https://docs.vectorize.io/integrations/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-sources/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/extract-information/understanding-iris/
- aid: vectorize-io:vectorize-io-uploads-api
  name: Vectorize Uploads API
  description: Push and manage files against File Upload connectors.
  humanURL: https://docs.vectorize.io/reference/api/api-getting-started/
  baseURL: https://api.vectorize.io/v1
  tags:
  - Uploads
  properties:
  - type: OpenAPI
    url: openapi/vectorize-io-uploads-api-openapi.yml
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/
  - type: APIReference
    url: https://docs.vectorize.io/reference/api/api-getting-started/
  - type: PostmanCollection
    url: collections/vectorize-io.postman_collection.json
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/retrieval-endpoint/
  - type: Documentation
    url: https://docs.vectorize.io/integrations/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-sources/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/extract-information/understanding-iris/
- aid: vectorize-io:vectorize-io-workspaces-api
  name: Vectorize Workspaces API
  description: List and retrieve workspaces.
  humanURL: https://docs.vectorize.io/reference/api/api-getting-started/
  baseURL: https://api.vectorize.io/v1
  tags:
  - Workspaces
  properties:
  - type: OpenAPI
    url: openapi/vectorize-io-workspaces-api-openapi.yml
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/
  - type: APIReference
    url: https://docs.vectorize.io/reference/api/api-getting-started/
  - type: PostmanCollection
    url: collections/vectorize-io.postman_collection.json
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-pipelines/retrieval-endpoint/
  - type: Documentation
    url: https://docs.vectorize.io/integrations/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/data-sources/
  - type: Documentation
    url: https://docs.vectorize.io/build-deploy/extract-information/understanding-iris/
common:
- type: AgenticAccess
  url: agentic-access/vectorize-io-agentic-access.yml
- type: DomainSecurity
  url: security/vectorize-io-domain-security.yml
- type: Authentication
  url: authentication/vectorize-io-authentication.yml
- type: GitHubOrganization
  url: https://github.com/vectorize-io
- type: LinkedIn
  url: https://www.linkedin.com/company/vectorize-io
- type: Website
  url: https://vectorize.io/
- type: Documentation
  url: https://docs.vectorize.io
- type: Plans
  url: plans/vectorize-io-plans-pricing.yml
- type: RateLimits
  url: rate-limits/vectorize-io-rate-limits.yml
- type: FinOps
  url: finops/vectorize-io-finops.yml
- type: Blog
  url: https://blog.vectorize.io/feed/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com