Weav

Weav.ai is an AI-native decisioning platform for property & casualty (P&C) insurance, applying agentic AI and document intelligence across underwriting, premium audit, and claims. The platform pairs pre-configured, line-of-business knowledge graphs and scorecards with an agentic decision engine and human-in-the-loop review, delivered through an API-first, no-code architecture that integrates with existing insurance systems. Developers integrate via a documented REST surface (documents, folders, forms, agents, workflows, actions, and chat services) and a first-party Python developer library (weavaidev) published through the weav-ai GitHub organization, authenticated with a Bearer token against a per-tenant environment host. Weav.ai is backed by Sierra Ventures and is a member of the Guidewire Insurtech Vanguards program.

Weav is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Insurance, Insurtech, and Underwriting.

Weav’s developer surface includes pricing, documentation, API reference, engineering blog, support, authentication, and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

22.6/100 emerging ▬ flat Agent 3/100 human only Front door AI 5/6 prominent Heartbeat 21/100 slowing library Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreemiumSelf serveFree trial⚡ Free to try

1 API

Company Artificial Intelligence Insurance Insurtech UnderwritingPremium AuditClaims Document AI Property and Casualty Decisioning

Kin Score

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

Composite quality — 22.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 8.9 / 17

Access Clarity 5.8 / 17

Operational Transparency 0.5 / 11

Contract Governance 0.0 / 10

Discoverability 5.5 / 9

Regulatory Posture 0.7 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 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 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 Insurance 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 Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author 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 →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →

12 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 Ask about this →
Access Clarity scores 34.0 — up to +13.2 composite points Ask about this →
Operational Transparency scores 4.8 — up to +12.4 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/weav/apis.yml: open an issue on github.com/api-evangelist/weav 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.

APIs 1

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

Weav.ai Decisioning Platform API

REST API for the Weav.ai Decisioning Platform, exposing document, folder, form, agent, workflow, action, and chat services used to build agentic insurance decisioning flows. Aut...

Weav API pricing

Prices published by Weav, read 2026-10-07 from weav.ai/pricing.

Plan	Price
Free Trial	No credit card required Includes: Up to 5 documents*; 14-day free trial; file sizes up to 1 MB
Professional	Contact Us Includes: 100 documents per month
Enterprise	Contact us Includes: Unlimited documents

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Weav Plans Pricing

3 plans

PLANS

Security Posture 2

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

Weav Authentication

http · 1 scheme

SECURITY

Weav Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

X-MCPServerCandidate

X-MCPServerCandidate

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

Pricing

Pricing

Plans

Plans

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Source (apis.yml)

aid: weav
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: freemium
  onboarding: self-serve
  trial: true
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium (free trial) · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/weav.png
name: Weav
description: Weav.ai is an AI-native decisioning platform for property & casualty (P&C) insurance, applying agentic AI and
  document intelligence across underwriting, premium audit, and claims. The platform pairs pre-configured, line-of-business
  knowledge graphs and scorecards with an agentic decision engine and human-in-the-loop review, delivered through an API-first,
  no-code architecture that integrates with existing insurance systems. Developers integrate via a documented REST surface
  (documents, folders, forms, agents, workflows, actions, and chat services) and a first-party Python developer library (weavaidev)
  published through the weav-ai GitHub organization, authenticated with a Bearer token against a per-tenant environment host.
  Weav.ai is backed by Sierra Ventures and is a member of the Guidewire Insurtech Vanguards program.
url: https://raw.githubusercontent.com/api-evangelist/weav/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- sierra-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Artificial Intelligence
- Insurance
- Insurtech
- Underwriting
- Premium Audit
- Claims
- Document AI
- Property and Casualty
- Decisioning
tags_raw:
- Company
- AI
- Insurance
- Insurtech
- Underwriting
- Premium Audit
- Claims
- Document AI
- Property and Casualty
- Decisioning
apis:
- name: Weav.ai Decisioning Platform API
  description: REST API for the Weav.ai Decisioning Platform, exposing document, folder, form, agent, workflow, action, and
    chat services used to build agentic insurance decisioning flows. Authenticated with a Bearer token; served from a per-tenant
    environment host (no single shared public production endpoint, and no public OpenAPI is published).
  humanURL: https://weav-ai.github.io/
  tags:
  - Insurance
  - Document AI
  - Agents
  - Workflows
  properties:
  - type: Documentation
    url: https://weav-ai.github.io/
  - type: APIReference
    url: https://weav-ai.github.io/docs/platform/intro
  - type: SDK
    url: https://github.com/weav-ai/weavai-developer-library
  - type: Authentication
    url: authentication/weav-authentication.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Pricing
  url: https://weav.ai/pricing
- type: Plans
  url: plans/weav-plans-pricing.yml
- url: https://weav.ai/blog/rss.xml
  type: BlogRSS
- type: Website
  url: https://weav.ai/
- type: DeveloperPortal
  url: https://weav-ai.github.io/
- type: Documentation
  url: https://weav-ai.github.io/
- type: APIReference
  url: https://weav-ai.github.io/docs/platform/intro
- type: Blog
  url: https://weav.ai/blog
- type: GitHubOrganization
  url: https://github.com/weav-ai
- type: Support
  url: https://weav.ai/contact-us
- type: Packages
  url: packages/weav-packages.yml
- type: SDKs
  url: packages/weav-packages.yml
- type: Authentication
  url: authentication/weav-authentication.yml
- type: Conventions
  url: conventions/weav-conventions.yml
- type: LLMsTxt
  url: llms/weav-llms.txt
- type: X-MCPServerCandidate
  url: mcp/weav-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: DomainSecurity
  url: security/weav-domain-security.yml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 7
  pass: local-v1

Weav API — frequently asked questions

Does Weav have an API?

Yes. APIs.io lists 1 API from Weav, including Weav.ai Decisioning Platform API.

How do I authenticate with the Weav API?

Weav uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Weav Authentication.

How much does the Weav API cost?

Weav publishes its prices; its Free Trial plan is No credit card required as of 2026-10-07. APIs.io lists 3 pricing plans for Weav, with each plan's price, limits and inclusions under Pricing on this page.

Is the Weav API ready for AI agents?

Weav has a Kin Score of 22.6 out of 100 (emerging) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-11-13.

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