convergence

Convergence AI was a London-based artificial-intelligence startup founded in 2024 by Marvin Purtorab (CEO) and Andy Toulis (CTO) building Proxy, a personal AI agent designed to complete open-ended administrative and web-browsing tasks across domains. Its approach centered on long-term memory and continual learning via a new class of models it called Large Meta Learning Models (LMLM). Convergence raised a $12M pre-seed led by Balderton Capital with participation from Salesforce Ventures and Shopify Ventures, and was acquired by Salesforce in May 2025 to strengthen Agentforce. Its lasting public surface is the convergence-ai GitHub organization, which open-sourced proxy-lite (a mini open-weights web-browsing agent), the proxy-lite-3b vision-language model on Hugging Face, the LM2 memory-model paper repo, and the WebGames agent benchmark.

convergence is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, AI Agents, Machine Learning, and Browser Automation.

convergence’s developer surface includes documentation and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

7.1/100 minimal ▬ flat Agent 0/100 human only Heartbeat 0/100 dormant library Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Artificial Intelligence AI Agents Machine Learning Browser Automation Open Weights Developer Tools

Kin Score

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

Composite quality — 7.1/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 2.8 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.8 / 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
Access Clarity scores 0.0 — up to +20.0 composite points
Developer Ergonomics scores 16.7 — up to +16.7 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/convergence/apis.yml: open an issue on github.com/api-evangelist/convergence 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
Hugging Face Hub Organisations	builds-on	17.2 (thin)	-	-

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.

Security Posture 1

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

Convergence Domain Security

TLSv1.3 · DNSSEC · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

ParentCompany

ParentCompany

Source (apis.yml)

aid: convergence
name: convergence
description: Convergence AI was a London-based artificial-intelligence startup founded in 2024 by Marvin Purtorab (CEO) and
  Andy Toulis (CTO) building Proxy, a personal AI agent designed to complete open-ended administrative and web-browsing tasks
  across domains. Its approach centered on long-term memory and continual learning via a new class of models it called Large
  Meta Learning Models (LMLM). Convergence raised a $12M pre-seed led by Balderton Capital with participation from Salesforce
  Ventures and Shopify Ventures, and was acquired by Salesforce in May 2025 to strengthen Agentforce. Its lasting public surface
  is the convergence-ai GitHub organization, which open-sourced proxy-lite (a mini open-weights web-browsing agent), the proxy-lite-3b
  vision-language model on Hugging Face, the LM2 memory-model paper repo, and the WebGames agent benchmark.
url: https://raw.githubusercontent.com/api-evangelist/convergence/refs/heads/main/apis.yml
deliveryModel:
  model: library
  open_source: false
  commercial: false
  callable_host: false
  label: Library · distributed through package registries, no callable service
  confidence: low
  source:
  - none
  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://avatars.githubusercontent.com/u/168867344?v=4
x-type: company
x-source: vc-portfolio
x-backed-by:
- balderton-capital
x-acquired-by: salesforce
x-acquired-date: '2025-05-15'
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-21'
tags:
- Company
- Artificial Intelligence
- AI Agents
- Machine Learning
- Browser Automation
- Open Weights
- Developer Tools
tags_raw:
- Company
- Artificial Intelligence
- AI Agents
- Machine Learning
- Web Automation
- Open Weights
- Developer Tools
- Machine-Learning
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: ParentCompany
  url: https://apis.io/providers/salesforce/
  name: Salesforce
  x-relationship: acquisition
  x-generated-by: salesforce-family:2026-08-21
  x-acquired: 2025
- type: DomainSecurity
  url: security/convergence-domain-security.yml
- type: Website
  url: https://convergence.ai/
- type: GitHubOrganization
  url: https://github.com/convergence-ai
- type: Documentation
  url: https://github.com/convergence-ai/proxy-lite
- type: Packages
  url: packages/convergence-packages.yml
- type: SDKs
  url: packages/convergence-packages.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence
x-parent: salesforce
x-relationship: acquisition
x-acquired: 2025

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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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