Blitzy

Blitzy is an autonomous software development platform for enterprises with large legacy codebases. It reverse-engineers existing code into a knowledge graph, then orchestrates thousands of AI agents to modernize software and build new applications at the scale of 1 million to over 100 million lines of code, autonomously completing roughly 80% of a project before human engineers review and approve the result. Rather than training its own foundation models, Blitzy composes leading third-party models (Gemini, GPT, Claude). Founded by Brian Elliott (CEO) and Sid Pardeshi (CTO), the company is headquartered in Cambridge, Massachusetts with an office in Pune, India, and is backed by Northzone.

Blitzy is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Software Development, Code Generation, and Autonomous Agents.

Blitzy’s developer surface includes pricing, engineering blog, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

14.3/100 emerging ▬ flat Agent 0/100 human only Front door AI 6/6 dominant Heartbeat 77/100 alive Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemium

0 APIs

Company Artificial Intelligence Software Development Code Generation Autonomous Agents Legacy Modernization Developer Tools Enterprise

Kin Score

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

Composite quality — 14.3/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 7.6 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 1.6 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 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 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 Horizontal (data, software, accessibility, platform) 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 could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% 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 Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
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

13 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 2.4 — up to +19.5 composite points
Operational Transparency scores 5.3 — up to +12.3 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/blitzy/apis.yml: open an issue on github.com/api-evangelist/blitzy 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 →

Blitzy API pricing

Prices published by Blitzy, read 2026-10-07 from blitzy.com/.

Plan	Price
Sandbox	$0 Includes: 1M Lines of codebase context; 100K Lines to generate
Structured Pilot	$250K Includes: 15M Lines of codebase context; 500K Lines to generate
Core	$500K Includes: Deployment Blitzy Cloud VPC
Scale	$1M Includes: Deployment Blitzy Cloud VPC or Single Tenant
Transformation	$10M Includes: Deployment Customer VPC, on-premises and black box

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Blitzy Plans Pricing

5 plans

PLANS

Security Posture 3

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

Blitzy Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Blitzy Vulnerability Disclosure

security.txt · contact published

SECURITY

Blitzy Trust Center

SOC 2, ISO 27001

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

Access & Security 6

Authentication, authorization, and security posture

SecurityTxt

SecurityTxt

DomainSecurity

DomainSecurity

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

TrustCenter

TrustCenter

Compliance

Compliance

Commercial 2

Pricing, plans, and the legal terms of use

Pricing

Pricing

Plans

Plans

Company 2

The organization behind the API

Blog

Blog

Website

Website

Source (apis.yml)

aid: blitzy
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/blitzy.png
name: Blitzy
description: Blitzy is an autonomous software development platform for enterprises with large legacy codebases. It reverse-engineers
  existing code into a knowledge graph, then orchestrates thousands of AI agents to modernize software and build new applications
  at the scale of 1 million to over 100 million lines of code, autonomously completing roughly 80% of a project before human
  engineers review and approve the result. Rather than training its own foundation models, Blitzy composes leading third-party
  models (Gemini, GPT, Claude). Founded by Brian Elliott (CEO) and Sid Pardeshi (CTO), the company is headquartered in Cambridge,
  Massachusetts with an office in Pune, India, and is backed by Northzone.
url: https://raw.githubusercontent.com/api-evangelist/blitzy/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- northzone
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Artificial Intelligence
- Software Development
- Code Generation
- Autonomous Agents
- Legacy Modernization
- Developer Tools
- Enterprise
tags_raw:
- Company
- AI
- Artificial Intelligence
- Software Development
- Code Generation
- Autonomous Agents
- Legacy Modernization
- Developer Tools
- Enterprise
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Pricing
  url: https://blitzy.com/
- type: Plans
  url: plans/blitzy-plans-pricing.yml
- url: https://blitzy.com/blog
  type: Blog
- type: Website
  url: https://blitzy.com
- type: SecurityTxt
  url: well-known/blitzy-security.txt
- type: WellKnown
  url: well-known/blitzy-well-known.yml
- type: DomainSecurity
  url: security/blitzy-domain-security.yml
- type: VulnerabilityDisclosure
  url: security/blitzy-vulnerability-disclosure.yml
- type: Security
  url: https://blitzy.com/.well-known/security.txt
- type: TrustCenter
  url: security/blitzy-trust-center.yml
- type: Compliance
  url: https://blitzy.com/trust
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Blitzy API — frequently asked questions

How much does the Blitzy API cost?

Blitzy publishes its prices; its Sandbox plan is $0 as of 2026-10-07. APIs.io lists 5 pricing plans for Blitzy, with each plan's price, limits and inclusions under Pricing on this page.

Is the Blitzy API ready for AI agents?

Blitzy has a Kin Score of 14.3 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

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get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
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Every operation they expose

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How their score was established

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