Hyperscience

Hyperscience provides enterprise-grade intelligent document processing (IDP) via the Hypercell platform. Capabilities include automated extraction, classification, GenAI processing, human-in-the-loop validation, and industry/use-case specific products (Hypercell for Freight Pay, GenAI, SNAP). Hyperscience exposes a REST API and a Flows SDK to its customers. FedRAMP High authorised; deployed in cloud and on-premises configurations.

Hyperscience publishes 10 API contracts indexed on the APIs.io network, including Audit Logs API, Cases API, Documents API, and 7 more. Tagged areas include Artificial Intelligence, Document AI, Intelligent Document Processing, Enterprise, and Automation.

The Hyperscience catalog on APIs.io includes 1 Spectral governance ruleset.

Hyperscience’s developer surface includes authentication, pricing, engineering blog, and 13 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

32.1/100 thin ▬ flat Agent 22/100 agent aware Front door AI 5/6 prominent Heartbeat 66/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessEnterpriseSelf serve

1 published contract

Artificial Intelligence Document AI Intelligent Document Processing Enterprise Automation Generative AI FedRAMP

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 32.1/100 · thin

Contract Quality 7.5 / 19

Developer Ergonomics 2.1 / 15

Access Clarity 5.1 / 15

Operational Transparency 1.8 / 10

Contract Governance 1.2 / 9

Discoverability 5.5 / 8

Regulatory Posture 4.5 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 22/100 · 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 Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

9 more unmet checks in the Agent Readiness table above.

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

Developer Ergonomics scores 14.3 — up to +17.1 composite points
Contract Quality scores 39.8 — up to +15.1 composite points
Access Clarity scores 34.2 — up to +13.2 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/hyperscience/apis.yml: open an issue on github.com/api-evangelist/hyperscience 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
RPA and Document AI (RPA marketplaces, intelligent document processing)	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 2

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.

OpenAPI

measured — observed by APIs.io (published)

OAuth 2.0

measured — observed by APIs.io (declared)

APIs 10

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

Hyperscience REST API

REST API for the Hypercell platform — submit documents, retrieve extraction results, manage flows and human-review queues. Each tenant receives its own base URL.

Hyperscience Audit Logs API

The Audit Logs API from Hyperscience — 3 operation(s) for audit logs.

Hyperscience Cases API

The Cases API from Hyperscience — 2 operation(s) for cases.

Hyperscience Documents API

The Documents API from Hyperscience — 2 operation(s) for documents.

Hyperscience Flow Runs API

The Flow Runs API from Hyperscience — 2 operation(s) for flow runs.

Hyperscience Flows API

The Flows API from Hyperscience — 2 operation(s) for flows.

Hyperscience Layouts API

The Layouts API from Hyperscience — 2 operation(s) for layouts.

Hyperscience Pages API

The Pages API from Hyperscience — 2 operation(s) for pages.

Hyperscience Submissions API

The Submissions API from Hyperscience — 2 operation(s) for submissions.

Hyperscience Version API

The Version API from Hyperscience — 1 operation(s) for version.

Scroll for all 10

Open Collections 10

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

Hyperscience Audit Logs API

OPEN COLLECTION

Hyperscience Audit Logs Cases API

OPEN COLLECTION

Hyperscience Audit Logs Documents API

OPEN COLLECTION

Hyperscience Audit Logs Flow Runs API

OPEN COLLECTION

Hyperscience Audit Logs Flows API

OPEN COLLECTION

Hyperscience Audit Logs Layouts API

OPEN COLLECTION

Hyperscience Audit Logs Pages API

OPEN COLLECTION

Hyperscience Audit Logs Submissions API

OPEN COLLECTION

Hyperscience Audit Logs Version API

OPEN COLLECTION

Hyperscience API

OPEN COLLECTION

Scroll for all 10

Hyperscience API pricing

Not yet checked against Hyperscience's own pricing page. Compiled by API Evangelist on 2026-05-08 from www.hyperscience.ai/; confirm before you rely on a figure.

Plan	Price
Hypercell (Enterprise) enterprise	—
Hypercell for Freight Pay enterprise	—
Hypercell for GenAI enterprise	—
Hypercell for SNAP enterprise	—

Plan details, limits and sources →

Rate limits

Per-tenant deployment: per provisioned compute capacity requests
Document throughput SLA: contract-defined documents/hour

Compiled by API Evangelist, not yet checked against Hyperscience's documentation. Rate-limit details →

Billed by: contract-year · FinOps profile →

Pricing Plans 1

Published pricing tiers and plan structures.

Hyperscience Plans Pricing

4 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Hyperscience Rate Limits

2 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Hyperscience

SLA

FinOps 1

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

Hyperscience Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Hyperscience API Rules

51 rules · 49 errors 1 warnings 1 info

SPECTRAL

Security Posture 4

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

Hyperscience Authentication

oauth2 · 1 scheme

SECURITY

Hyperscience Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Hyperscience Vulnerability Disclosure

no policy recorded

SECURITY

Hyperscience Trust Center

SOC 2, ISO 27001, HIPAA, FedRAMP, GDPR

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Hyperscience Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Agentic Access 1

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

Hyperscience Agentic Access

20 operations · 4 acting

AGENTIC

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

LlmsText

LlmsText

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 6

Authentication, authorization, and security posture

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Authentication

Authentication

OAuthScopes

OAuthScopes

SecurityAndCompliance

SecurityAndCompliance

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

LinkedIn

Website

Website

Blog

Blog

Source (apis.yml)

aid: hyperscience
url: https://raw.githubusercontent.com/api-evangelist/hyperscience/refs/heads/main/apis.yml
name: Hyperscience
kind: company
description: Hyperscience provides enterprise-grade intelligent document processing (IDP) via the Hypercell platform. Capabilities
  include automated extraction, classification, GenAI processing, human-in-the-loop validation, and industry/use-case specific
  products (Hypercell for Freight Pay, GenAI, SNAP). Hyperscience exposes a REST API and a Flows SDK to its customers. FedRAMP
  High authorised; deployed in cloud and on-premises configurations.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: enterprise
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Enterprise · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/hyperscience.png
tags:
- Artificial Intelligence
- Document AI
- Intelligent Document Processing
- Enterprise
- Automation
- Generative AI
- FedRAMP
tags_raw:
- AI
- Document AI
- IDP
- Enterprise
- Automation
- GenAI
- FedRAMP
created: '2026-05-08'
modified: '2026-05-08'
specificationVersion: '0.23'
apis:
- aid: hyperscience:rest
  name: Hyperscience REST API
  description: REST API for the Hypercell platform — submit documents, retrieve extraction results, manage flows and human-review
    queues. Each tenant receives its own base URL.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://www.hyperscience.ai/products/api/
  baseURL: https://<tenant>.hyperscience.net
  tags:
  - REST
  - Documents
  - Flow
  - Enterprise
  tags_raw:
  - REST
  - Documents
  - Flows
  - Enterprise
  properties:
  - type: Documentation
    url: https://www.hyperscience.ai/products/api/
  - type: FlowsSDK
    url: https://www.hyperscience.ai/
- aid: hyperscience:hyperscience-audit-logs-api
  name: Hyperscience Audit Logs API
  description: The Audit Logs API from Hyperscience — 3 operation(s) for audit logs.
  humanURL: https://www.hyperscience.ai/products/api/
  baseURL: https://<tenant>.hyperscience.net
  tags:
  - Audit Logs
  properties:
  - type: OpenAPI
    url: openapi/hyperscience-audit-logs-api-openapi.yml
- aid: hyperscience:hyperscience-cases-api
  name: Hyperscience Cases API
  description: The Cases API from Hyperscience — 2 operation(s) for cases.
  humanURL: https://www.hyperscience.ai/products/api/
  baseURL: https://<tenant>.hyperscience.net
  tags:
  - Cases
  properties:
  - type: OpenAPI
    url: openapi/hyperscience-cases-api-openapi.yml
- aid: hyperscience:hyperscience-documents-api
  name: Hyperscience Documents API
  description: The Documents API from Hyperscience — 2 operation(s) for documents.
  humanURL: https://www.hyperscience.ai/products/api/
  baseURL: https://<tenant>.hyperscience.net
  tags:
  - Documents
  properties:
  - type: OpenAPI
    url: openapi/hyperscience-documents-api-openapi.yml
- aid: hyperscience:hyperscience-flow-runs-api
  name: Hyperscience Flow Runs API
  description: The Flow Runs API from Hyperscience — 2 operation(s) for flow runs.
  humanURL: https://www.hyperscience.ai/products/api/
  baseURL: https://<tenant>.hyperscience.net
  tags:
  - Flow Runs
  properties:
  - type: OpenAPI
    url: openapi/hyperscience-flow-runs-api-openapi.yml
- aid: hyperscience:hyperscience-flows-api
  name: Hyperscience Flows API
  description: The Flows API from Hyperscience — 2 operation(s) for flows.
  humanURL: https://www.hyperscience.ai/products/api/
  baseURL: https://<tenant>.hyperscience.net
  tags:
  - Flow
  tags_raw:
  - Flows
  properties:
  - type: OpenAPI
    url: openapi/hyperscience-flows-api-openapi.yml
- aid: hyperscience:hyperscience-layouts-api
  name: Hyperscience Layouts API
  description: The Layouts API from Hyperscience — 2 operation(s) for layouts.
  humanURL: https://www.hyperscience.ai/products/api/
  baseURL: https://<tenant>.hyperscience.net
  tags:
  - Layouts
  properties:
  - type: OpenAPI
    url: openapi/hyperscience-layouts-api-openapi.yml
- aid: hyperscience:hyperscience-pages-api
  name: Hyperscience Pages API
  description: The Pages API from Hyperscience — 2 operation(s) for pages.
  humanURL: https://www.hyperscience.ai/products/api/
  baseURL: https://<tenant>.hyperscience.net
  tags:
  - Pages
  properties:
  - type: OpenAPI
    url: openapi/hyperscience-pages-api-openapi.yml
- aid: hyperscience:hyperscience-submissions-api
  name: Hyperscience Submissions API
  description: The Submissions API from Hyperscience — 2 operation(s) for submissions.
  humanURL: https://www.hyperscience.ai/products/api/
  baseURL: https://<tenant>.hyperscience.net
  tags:
  - Submissions
  properties:
  - type: OpenAPI
    url: openapi/hyperscience-submissions-api-openapi.yml
- aid: hyperscience:hyperscience-version-api
  name: Hyperscience Version API
  description: The Version API from Hyperscience — 1 operation(s) for version.
  humanURL: https://www.hyperscience.ai/products/api/
  baseURL: https://<tenant>.hyperscience.net
  tags:
  - Version
  properties:
  - type: OpenAPI
    url: openapi/hyperscience-version-api-openapi.yml
common:
- type: AgenticAccess
  url: agentic-access/hyperscience-agentic-access.yml
- type: TrustCenter
  url: security/hyperscience-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/hyperscience-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/hyperscience-domain-security.yml
- type: Authentication
  url: authentication/hyperscience-authentication.yml
- type: OAuthScopes
  url: scopes/hyperscience-scopes.yml
- type: GitHubOrganization
  url: https://github.com/hyperscience
- type: LinkedIn
  url: https://www.linkedin.com/company/hyperscience
- type: Website
  url: https://www.hyperscience.ai/
- type: Pricing
  url: https://www.hyperscience.ai/contact/
- type: SecurityAndCompliance
  url: https://www.hyperscience.ai/security/
- type: Plans
  url: plans/hyperscience-plans-pricing.yml
- type: RateLimits
  url: rate-limits/hyperscience-rate-limits.yml
- type: FinOps
  url: finops/hyperscience-finops.yml
- type: Integrations
  url: https://www.hyperscience.ai/partners/
- type: LlmsText
  url: https://hyperscience.ai/llms.txt
- url: https://www.hyperscience.ai/blog/
  type: Blog
integrations:
- name: Hyperscience
- name: Google Cloud
- name: HPE
- name: IBM
- name: Palantir
- name: Microsoft
- name: Box
- name: AWS
- name: Deloitte
- name: Carahsoft
- name: Salesforce
- name: WNS
- name: Accenture
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Hyperscience API — frequently asked questions

Does Hyperscience have an API?

Yes. APIs.io lists 10 APIs from Hyperscience, including Hyperscience REST API, Hyperscience Audit Logs API and Hyperscience Cases API, and 7 more.

Is there an OpenAPI specification for the Hyperscience API?

Yes. APIs.io indexes 9 OpenAPI specifications for Hyperscience, each linked for download from this page.

How do I authenticate with the Hyperscience API?

Hyperscience documents its authentication (oauth2 · 1 scheme). The details are profiled on APIs.io as Hyperscience Authentication.

How much does the Hyperscience API cost?

APIs.io lists 4 pricing plans for Hyperscience, with each plan's price, limits and inclusions under Pricing on this page.

Is the Hyperscience API ready for AI agents?

Hyperscience has a Kin Score of 32.1 out of 100 (thin) and an Agent Readiness score of 22.4 (agent-aware), scored by API Evangelist on 2026-11-06.

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