Dilli Labs
Dilli Labs LLC is a San Francisco Bay Area (Silicon Valley) software and technology consulting company founded in 2017 by an MIT alumnus. It builds web applications, iOS/Android mobile apps and Amazon Alexa/Google voice skills, offers web hosting and domain registration, and runs SaaS APIs: the Dilli Email Validation API (DEVA), IP Address Validation (DIVA), Profanity Detection (DeVIL), IP Geolocation (DIL) and a broken link checker. DEVA is also published as a remote MCP server (com.dillilabs.deva/dilli-email-validation-api-server at https://deva.dillilabs.com/mcp) in the official MCP registry. The name DILLI stands for 'Do It w/ Love and Love It'.
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 Dilli Labs the way a machine reads it — 21 machine-readable artifacts across 2 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 — Dilli Labs scores 48.0/100 (developing), with a separate agent-readiness read of 25/100 (agent aware). 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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-11-06 · rubric v0.27.0
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How we profile Dilli Labs
Each block below is one kind of artifact we hold for Dilli Labs. 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 9
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.
Dilli Email Validation API (DEVA)
Validates an email address; documented usage is GET https://deva.dillilabs.com/api/{API_KEY}/email/{address}?ip={IP_ADDRESS}, returning true if valid and false if invalid. Also ...
Dilli IP Geolocation API (DIL)
Returns the ISO alpha-2 country code and country name for an IP address; documented usage is GET https://api.dillilabs.com/dil/
Dilli IP Address Validation API (DIVA)
Checks an IP address against abuse blacklists; documented usage is GET https://api.dillilabs.com/diva/
Dilli Profanity Detection API (DeVIL)
Checks a string of text for profanity; documented usage is POST https://api.dillilabs.com/devil/{API_KEY} with a text parameter, returning true if it contains profanity and fals...
Dilli Labs Analyze API
The Analyze API from Dilli Labs — 1 operation(s) for analyze.
Dilli Labs Health API
The Health API from Dilli Labs — 1 operation(s) for health.
Dilli Labs Privacy API
The Privacy API from Dilli Labs — 1 operation(s) for privacy.
Dilli Labs Purchase API
The Purchase API from Dilli Labs — 1 operation(s) for purchase.
Dilli Labs User API
The User API from Dilli Labs — 1 operation(s) for user.
Scroll within the panel for all 9 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
Dilli Labs MCP Server
MCP SERVERAgent Skills 1
An agent skill packages the how-to for driving these APIs from an assistant — the prompts, the sequence, the guardrails — so the knowledge to use the API travels with it.
Packaged agent skills for driving this provider's APIs from an AI assistant.
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AGENT SKILLPricing 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 things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
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.
Dillilabs Com Rate Limits
RATE LIMITSSemantic 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.
Dillilabs Com 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.
Dilli Labs API Rules
SPECTRALJSON Schema 3
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.
Security Posture 2
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 Dilli Labs — 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.
Get Started 2
Portal, sign-up, and the first successful call
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 7
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 7 ·
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 5
The organization behind the API
Other 4
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/dillilabs-com · machine-readable index on apis.io
This is an independent, third-party profile of Dilli Labs, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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