Sparkle

TAAI Labs, Inc operates Sparkle (sparkle.security), an AI-first secure software development lifecycle (SDLC) platform, currently in beta, that aims to prevent vulnerabilities across the entire SDLC by embedding AI-powered security analysis into existing engineering workflows. Sparkle works across five phases — contextualize, design, build, validate, and govern — and deploys "Secure Agents" that surface risks, gather evidence, and track security decisions to give product security, AppSec, platform engineering, and engineering leadership teams audit-ready visibility across the secure SDLC. The company markets outcomes such as increased security-team productivity, reduced AI-generated risk, and full visibility, and is backed by 500 Global. The product is pre-general-availability and publishes no public developer API, SDKs, or documentation as of this profile.

Sparkle is profiled on the APIs.io network. Tagged areas include Company, Security, Application Security, Artificial Intelligence, and Secure SDLC.

Sparkle’s developer surface includes signup flow and 5 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

11.7/100 emerging ▬ flat Agent 12/100 agent aware Front door AI 5/6 prominent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company Security Application Security Artificial IntelligenceSecure SDLCDevSecOps Agents Vulnerability Management

Kin Score

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

Composite quality — 11.7/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 5.8 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.4 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 12/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 5 / 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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<a href="https://apis.io/providers/taai-labs-inc/"><img src="https://apis.io/badge/taai-labs-inc/card.svg" alt="Sparkle on APIs.io — Kin Score by API Evangelist"></a>

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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
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

11 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 0.0 — up to +20.0 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/taai-labs-inc/apis.yml: open an issue on github.com/api-evangelist/taai-labs-inc 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 3

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.

DevSecOps

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

MCP Servers 1

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

Sparkle MCP Server

Remote MCP server at mcp.sparkle.security over HTTP.

MCP SERVER

Security Posture 1

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

Taai Labs Inc Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

LinkedIn

Source (apis.yml)

aid: taai-labs-inc
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/taai-labs-inc.png
name: Sparkle
description: TAAI Labs, Inc operates Sparkle (sparkle.security), an AI-first secure software development lifecycle (SDLC)
  platform, currently in beta, that aims to prevent vulnerabilities across the entire SDLC by embedding AI-powered security
  analysis into existing engineering workflows. Sparkle works across five phases — contextualize, design, build, validate,
  and govern — and deploys "Secure Agents" that surface risks, gather evidence, and track security decisions to give product
  security, AppSec, platform engineering, and engineering leadership teams audit-ready visibility across the secure SDLC.
  The company markets outcomes such as increased security-team productivity, reduced AI-generated risk, and full visibility,
  and is backed by 500 Global. The product is pre-general-availability and publishes no public developer API, SDKs, or documentation
  as of this profile.
url: https://raw.githubusercontent.com/api-evangelist/taai-labs-inc/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Security
- Application Security
- Artificial Intelligence
- Secure SDLC
- DevSecOps
- Agents
- Vulnerability Management
tags_raw:
- Company
- Security
- Application Security
- AI
- Secure SDLC
- DevSecOps
- Agents
- Vulnerability Management
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/taai-labs-inc-domain-security.yml
- type: Website
  url: https://sparkle.security
- type: TermsOfService
  url: https://sparkle.security/terms
- type: PrivacyPolicy
  url: https://sparkle.security/privacy
- type: SignUp
  name: Book a demo / early access
  url: https://sparkle.security/book-meet
- type: LinkedIn
  url: https://www.linkedin.com/company/sparkle-security
x-enrichment:
  date: '2026-07-21'
  status: minimal
  artifacts_added: 1
  pass: local-v1
x-legal-name: TAAI Labs, Inc

Sparkle API — frequently asked questions

Does Sparkle have an MCP server?

Yes. APIs.io lists 1 MCP server for Sparkle: Remote MCP server at mcp.sparkle.security over HTTP.

Is the Sparkle API ready for AI agents?

Sparkle has a Kin Score of 11.7 out of 100 (emerging) and an Agent Readiness score of 12.2 (agent-aware), 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

9 MCP tools reach this

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
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.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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