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 Artificial Intelligence, RAG, Vectorization, Embeddings, and Retrieval.

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

🌐 Visit website 📡 Source on GitHub

37.4/100 thin ▬ flat Agent 20/100 agent aware Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0

AccessFreemiumSelf serve⚡ Free to try

8 APIs

Artificial Intelligence RAGVectorizationEmbeddings Retrieval Vector Database

Kin Score

Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0

Composite quality — 37.4/100 · thin

Contract Quality 12.9 / 25

Developer Ergonomics 4.8 / 20

Access Clarity 7.9 / 20

Operational Transparency 4.4 / 13

Contract Governance 0.0 / 12

Discoverability 7.4 / 10

Agent readiness — 20/100 · 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 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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Surface 0 / 5

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.

Open Collections 10

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

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.

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

LinkedIn

Website

Website

Blog

Blog

Source (apis.yml)

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:
- Artificial Intelligence
- RAG
- Vectorization
- Embeddings
- Retrieval
- Vector Database
tags_raw:
- AI
- RAG
- Vectorization
- Embeddings
- Retrieval
- Vector Database
created: '2026-06-20'
modified: '2026-06-20'
specificationVersion: '0.23'
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:
  - File
  tags_raw:
  - 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

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