Affinity
Affinity is a relationship intelligence CRM built for private equity, venture capital, and investment banking teams. It provides a REST API that enables developers to manage contacts, organizations, opportunities, lists, notes, and relationship timelines derived from email and calendar activity. The API is available in two versions: a legacy V1 with full read/write capabilities for persons, companies, opportunities, notes, interactions, reminders, and webhooks, and a modern V2 RESTful interface designed for internal apps, automated workflows, and third-party integrations. API access is included in the Scale, Advanced, and Enterprise subscription tiers, with monthly call limits ranging from 100,000 to unlimited depending on the plan.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Affinity the way a machine reads it — 35 machine-readable artifacts across 11 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Affinity scores 57.8/100 (developing), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Affinity
Each block below is one kind of artifact we hold for Affinity. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 11
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Affinity API V1
The legacy Affinity V1 API provides comprehensive read and write access to core CRM data including persons, organizations, opportunities, lists, notes, interactions, reminders, ...
Affinity auth API
Operations about auths
Affinity companies API
Operations about companies
Affinity companyMerges API
Operations about company merges
Affinity emails API
Operations about emails
Affinity lists API
Operations about lists
Affinity meetings API
Operations about meetings
Affinity notes API
Operations about notes
Affinity opportunities API
Operations about opportunities
Affinity personMerges API
Operations about person merges
Affinity persons API
Operations about persons
Scroll within the panel for all 11 ·
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Affinity Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Affinity Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Affinity Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Affinity API Rules
SPECTRALJSON Schema 14
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
Attendee
JSON SCHEMACompanyData
JSON SCHEMAField
JSON SCHEMAFieldValue
JSON SCHEMAGrant
JSON SCHEMAListEntry
JSON SCHEMAMeeting
JSON SCHEMAnotes.Note
JSON SCHEMAOpportunity
JSON SCHEMAPagination
JSON SCHEMAPersonData
JSON SCHEMATenant
JSON SCHEMAUser
JSON SCHEMAWhoAmI
JSON SCHEMAScroll within the panel for all 14 ·
Examples 1
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Affinity V2 Examples
EXAMPLESecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Affinity — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/affinity · machine-readable index on apis.io