Bhanzu

Bhanzu provides online math education platforms offering personalized, AI‑enhanced learning experiences for students across K‑12. Founded by world‑record‑holding mental calculator Neelakantha Bhanu Prakash, the company delivers live interactive classes, practice tools, and a suite of AI assistants to make math engaging and accessible worldwide. With over 50,000 students served, 3 million teaching hours, and presence in 16 countries, Bhanzu aims to transform math fear into confidence through concept‑first teaching, growth‑mindset cultivation, and data‑driven insights.

Bhanzu publishes 2 API contracts indexed on the APIs.io network: AI API and Content API. Tagged areas include Education, Math, E-Learning, Artificial Intelligence, and K-12.

The Bhanzu catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Bhanzu’s developer surface includes documentation, engineering blog, and 22 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

31.2/100 thin ▬ flat Agent 22/100 agent aware Heartbeat 100/100 alive Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 published contract 1 MCP Servers

Education Math E-Learning Artificial Intelligence K-12

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Media, Creator & Social

AE-170

Content

GET /api/public/posts GET /api/public/sections

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 31.2/100 · thin

Contract Quality 11.4 / 19

Developer Ergonomics 1.8 / 15

Access Clarity 4.5 / 15

Operational Transparency 0.0 / 10

Contract Governance 2.0 / 9

Discoverability 5.0 / 8

Regulatory Posture 1.8 / 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 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 0 / 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 0 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Education & Research 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):

Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
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) Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented) Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented) Ask about this →

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 11.9 — up to +17.6 composite points Ask about this →
Access Clarity scores 29.8 — up to +14.0 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/bhanzu/apis.yml: open an issue on github.com/api-evangelist/bhanzu 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 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.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OpenAPI

measured — observed by APIs.io (published)

APIs 2

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

Bhanzu AI API

AI-readable content files and tools

Bhanzu Content API

Published article content

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Bhanzu MCP Server

Remote MCP server at bhanzu.com.

MCP SERVER

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

Bhanzu

10 quoted statements, read from Bhanzu's own page on 2026-11-09.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

Bhanzu

9 quoted statements, read from Bhanzu's own page on 2026-11-09.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

Bhanzu

2 quoted statements, read from Bhanzu's own page on 2026-11-09.

ELIGIBILITY

Data License 1

How its data and outputs may be reused, quoted from its own terms.

Bhanzu

1 quoted statement, read from Bhanzu's own page on 2026-11-09.

LICENSE

Semantic Vocabularies 1

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

Bhanzu Context

4 classes · 18 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.

Bhanzu API Rules

13 rules · 11 error-severity 1 warn-severity 1 info-severity

SPECTRAL

JSON Schema 4

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

ArticleFull

14 properties

JSON SCHEMA

ArticleSummary

13 properties

JSON SCHEMA

JsonRpcRequest

4 properties

JSON SCHEMA

JsonRpcResponse

4 properties

JSON SCHEMA

Security Posture 1

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

Bhanzu Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

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

Bhanzu Agentic Access

6 operations · 1 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

LLMsTxt

MCPServer

WellKnown

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

ErrorCatalog

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

ToolCrosswalk

ToolCrosswalk

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

PrivacyPolicy

TermsOfService

UsageTerms

DataLicense

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 5

Properties that don't map to a standard resource type

CapabilityMap

Hosts

Vendors

DataProcessing

Eligibility

Source (apis.yml)

aid: bhanzu
name: Bhanzu
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://bhanzu.com/og-images/book-demo-og.webp
description: Bhanzu provides online math education platforms offering personalized, AI‑enhanced learning experiences for students
  across K‑12. Founded by world‑record‑holding mental calculator Neelakantha Bhanu Prakash, the company delivers live interactive
  classes, practice tools, and a suite of AI assistants to make math engaging and accessible worldwide. With over 50,000 students
  served, 3 million teaching hours, and presence in 16 countries, Bhanzu aims to transform math fear into confidence through
  concept‑first teaching, growth‑mindset cultivation, and data‑driven insights.
url: https://raw.githubusercontent.com/api-evangelist/bhanzu/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
x-tier: profiled
x-tier-reason: enrichment pass 2026-09-28 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-09-28'
modified: '2026-09-28'
tags:
- Education
- Math
- E-Learning
- Artificial Intelligence
- K-12
tags_raw:
- Education
- Math
- E‑learning
- AI
- K‑12
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: CapabilityMap
  url: capabilities/bhanzu-capability-edges.yml
  name: Bhanzu Business Capability Map
- type: AgenticAccess
  url: agentic-access/bhanzu-agentic-access.yml
- type: Spectral
  url: rules/bhanzu-rules.yml
- type: JSONLD
  url: json-ld/bhanzu-context.jsonld
- type: Vocabulary
  url: vocabulary/bhanzu-vocabulary.yml
- type: DataModel
  url: data-model/bhanzu-data-model.yml
- type: ErrorCatalog
  url: errors/bhanzu-problem-types.yml
- type: Conformance
  url: conformance/bhanzu-conformance.yml
- type: LLMsTxt
  url: llms/bhanzu-llms.txt
- type: ToolCrosswalk
  url: mcp/bhanzu-tool-crosswalk.yml
- type: MCPServer
  url: mcp/bhanzu-mcp.yml
- type: WellKnown
  url: well-known/bhanzu-well-known.yml
- type: Hosts
  url: hosts/bhanzu-hosts.yml
- type: Vendors
  url: vendors/bhanzu-vendors.yml
- type: Documentation
  url: https://dev.bhanzu.com/
- type: DomainSecurity
  url: security/bhanzu-domain-security.yml
- type: Website
  url: https://bhanzu.com
- type: Blog
  url: https://bhanzu.com/blog
- type: PrivacyPolicy
  url: https://bhanzu.com/privacy-policy
- type: TermsOfService
  url: https://bhanzu.com/terms-and-conditions
- type: UsageTerms
  url: terms/bhanzu-terms-of-service.yml
- type: DataProcessing
  url: privacy/bhanzu-privacy-policy.yml
- type: Eligibility
  url: eligibility/bhanzu-eligibility.yml
- type: DataLicense
  url: data-license/bhanzu-data-license.yml
apis:
- aid: bhanzu:bhanzu-ai-api
  name: Bhanzu AI API
  description: AI-readable content files and tools
  humanURL: https://blog.bhanzu.com/
  tags:
  - Artificial Intelligence
  tags_raw:
  - AI
  properties:
  - type: OpenAPI
    url: openapi/bhanzu-ai-api-openapi.yml
  - type: JSONSchema
    url: json-schema/bhanzu-json-rpc-response-schema.json
  - type: JSONSchema
    url: json-schema/bhanzu-json-rpc-request-schema.json
- aid: bhanzu:bhanzu-content-api
  name: Bhanzu Content API
  description: Published article content
  humanURL: https://blog.bhanzu.com/
  tags:
  - Content
  properties:
  - type: OpenAPI
    url: openapi/bhanzu-content-api-openapi.yml
  - type: JSONSchema
    url: json-schema/bhanzu-article-summary-schema.json
  - type: JSONSchema
    url: json-schema/bhanzu-article-full-schema.json
x-enrichment:
  date: '2026-09-28'
  status: enriched
  artifacts_added: 18
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Bhanzu API — frequently asked questions

Does Bhanzu have an API?

Yes. APIs.io lists 2 APIs from Bhanzu, including Bhanzu AI API and Bhanzu Content API.

Is there an OpenAPI specification for the Bhanzu API?

Yes. APIs.io indexes 2 OpenAPI specifications for Bhanzu, each linked for download from this page.

Does Bhanzu have an MCP server?

Yes. APIs.io lists 1 MCP server for Bhanzu: Remote MCP server at bhanzu.com.

Is the Bhanzu API ready for AI agents?

Bhanzu has a Kin Score of 31.2 out of 100 (thin) and an Agent Readiness score of 22.3 (agent-aware), scored by API Evangelist on 2026-11-13.

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