Indico Data

Indico Data is an enterprise intelligent document processing (IDP) and intelligent process automation (IPA) company that turns unstructured content — documents, emails, images, and free text — into structured, usable data. Its Agents & Workflows platform lets teams build extraction and classification models from as few as ~200 sample documents (no rules or templates) and deploy them as document-processing pipelines. Developers integrate via a REST API and a companion GraphQL API, authenticating with an API token exchanged for a short-lived JWT, and via first-party Python, C#, and Java client libraries. The platform is commonly deployed on a dedicated per-customer cluster and is used to automate high-volume unstructured-data workflows across insurance, financial services, and other document-heavy industries.

Indico Data publishes 1 API on the APIs.io network: Indico REST API. Tagged areas include Company, Intelligent Document Processing, Intelligent Process Automation, Document AI, and Machine Learning.

Indico Data’s developer surface includes documentation, API reference, getting-started guide, engineering blog, changelog, authentication, and 18 more developer resources.

51.8/100 developing Agent 43/100 agent aware Full breakdown ↓
scored 2026-07-20 · rubric v0.4
1 APIs 1 MCP Servers 0 Features
CompanyIntelligent Document ProcessingIntelligent Process AutomationDocument AIMachine LearningUnstructured DataData ExtractionInsurance

API Rating

API Evangelist API Evangelist Rating How this is scored →
scored 2026-07-20 · rubric v0.4
Composite quality — 51.8/100 · developing
Contract Quality 15.1 / 25
Developer Ergonomics 14.8 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 2.7 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 43/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 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 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
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/indico-data: 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

Indico REST API

REST API for submitting documents to Indico workflows, polling submission status, and retrieving structured extraction results. Served under /restapi on the Indico cluster; JWT ...

MCP Servers

indico-data-mcp.yml

MCP SERVER

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 4

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: indico-data
name: Indico Data
description: Indico Data is an enterprise intelligent document processing (IDP) and intelligent process automation (IPA) company
  that turns unstructured content — documents, emails, images, and free text — into structured, usable data. Its Agents &
  Workflows platform lets teams build extraction and classification models from as few as ~200 sample documents (no rules
  or templates) and deploy them as document-processing pipelines. Developers integrate via a REST API and a companion GraphQL
  API, authenticating with an API token exchanged for a short-lived JWT, and via first-party Python, C#, and Java client libraries.
  The platform is commonly deployed on a dedicated per-customer cluster and is used to automate high-volume unstructured-data
  workflows across insurance, financial services, and other document-heavy industries.
url: https://raw.githubusercontent.com/api-evangelist/indico-data/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
image: https://indicodata.ai/wp-content/uploads/2023/01/indico-data-logo.png
tags:
- Company
- Intelligent Document Processing
- Intelligent Process Automation
- Document AI
- Machine Learning
- Unstructured Data
- Data Extraction
- Insurance
apis:
- name: Indico REST API
  description: REST API for submitting documents to Indico workflows, polling submission status, and retrieving structured
    extraction results. Served under /restapi on the Indico cluster; JWT bearer auth obtained via an API-token exchange.
  humanURL: https://developer.indicodata.ai/
  baseURL: https://app.indico.io/restapi
  properties:
  - type: OpenAPI
    url: openapi/indico-data-openapi.yml
  - type: Overlay
    url: overlays/indico-data-openapi-overlay.yaml
  - type: Documentation
    url: https://developer.indicodata.ai/docs/getting-started
  - type: APIReference
    url: https://developer.indicodata.ai/reference
  - type: Authentication
    url: authentication/indico-data-authentication.yml
  - type: ErrorCatalog
    url: errors/indico-data-problem-types.yml
  - type: DataModel
    url: data-model/indico-data-data-model.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://indicodata.ai/
- type: DeveloperPortal
  url: https://developer.indicodata.ai/
- type: Documentation
  url: https://developer.indicodata.ai/docs/getting-started
- type: APIReference
  url: https://developer.indicodata.ai/reference
- type: GettingStarted
  url: https://developer.indicodata.ai/docs/getting-started
- type: HelpCenter
  url: https://docs.indicodata.ai/
- type: Blog
  url: https://indicodata.ai/blog/
- type: GitHubOrganization
  url: https://github.com/IndicoDataSolutions
- type: Login
  url: https://app.indico.io/
- type: TermsOfService
  url: https://indicodata.ai/eula
- type: PrivacyPolicy
  url: https://indicodata.ai/privacypolicy
- type: TrustCenter
  url: https://app.carbidesecure.com/trust/indico
- type: Compliance
  url: https://app.carbidesecure.com/trust/indico
- type: ChangeLog
  url: changelog/indico-data-changelog.yml
- type: Authentication
  url: authentication/indico-data-authentication.yml
- type: Conventions
  url: conventions/indico-data-conventions.yml
- type: Conformance
  url: conformance/indico-data-conformance.yml
- type: Lifecycle
  url: lifecycle/indico-data-lifecycle.yml
- type: Packages
  url: packages/indico-data-packages.yml
- type: SDKs
  url: packages/indico-data-packages.yml
- type: LLMsTxt
  url: llms/indico-data-llms.txt
- type: MCPServer
  url: mcp/indico-data-mcp.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DomainSecurity
  url: security/indico-data-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence