llmintel-ai

LLMIntel provides runtime telemetry for large language model (LLM) cost, usage, and optimization. It meters every model call across OpenAI, Anthropic, Azure, AWS Bedrock, and Google, showing real spend by app, environment, and key. It flags cheaper on‑par alternatives and warns before model deprecation. Free under $300/mo of tracked spend, with paid plans scaling with usage.

llmintel-ai publishes 5 API contracts indexed on the APIs.io network, including Compare API, Events API, Models API, and 2 more. Tagged areas include AI, Cost, Observability, Telemetry, and GenAI.

The llmintel-ai catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

llmintel-ai’s developer surface includes changelog, authentication, documentation, API reference, getting-started guide, support, pricing, and 23 more developer resources.

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55.8/100 strong Agent 37/100 agent ready Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 published contract 6 Agent Skills

AICost Observability TelemetryGenAI

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 55.8/100 · strong

Contract Quality 13.9 / 21

Developer Ergonomics 11.6 / 17

Access Clarity 8.1 / 17

Operational Transparency 2.9 / 11

Contract Governance 2.2 / 10

Discoverability 5.6 / 9

Regulatory Posture 6.3 / 15

Agent readiness — 37/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 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

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics 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):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

6 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 47.4 — up to +10.5 composite points
Operational Transparency scores 26.3 — up to +9.6 composite points
Contract Governance scores 22.0 — up to +9.4 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/llmintel-ai/apis.yml: open an issue on github.com/api-evangelist/llmintel-ai 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 →

APIs 5

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

llmintel-ai Compare API

Side-by-side comparison of models across cost, performance, and lifecycle.

llmintel-ai Events API

Lifecycle change events for incremental polling.

llmintel-ai Models API

Tracked models and their current canonical lifecycle state.

llmintel-ai Status API

Public freshness / SLA transparency signal.

llmintel-ai Telemetry API

Ingest runtime model usage for cost analysis and model discovery.

Agent Skills 6

Packaged agent skills for driving this provider's APIs from an AI assistant.

compare-models

AGENT SKILL

get-model

AGENT SKILL

get-status

AGENT SKILL

ingest-telemetry

AGENT SKILL

list-events

AGENT SKILL

list-models

AGENT SKILL

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Llmintel Ai Context

8 classes · 42 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

llmintel-ai API Rules

19 rules · 16 errors 1 warnings 2 info

SPECTRAL

JSON Schema 6

Standalone JSON Schema definitions for this provider's data models.

Comparison

3 properties

JSON SCHEMA

Event

6 properties

JSON SCHEMA

ModelDetail

0 properties

JSON SCHEMA

Model

12 properties

JSON SCHEMA

Status

6 properties

JSON SCHEMA

TelemetryRequest

1 properties

JSON SCHEMA

Security Posture 4

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

Llmintel Ai Authentication

1 scheme

SECURITY

Llmintel Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Llmintel Ai Vulnerability Disclosure

no policy recorded

SECURITY

Llmintel Ai Trust Center

SOC 2, PCI DSS, GDPR

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Llmintel Ai Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Llmintel Ai Agentic Access

6 operations · 1 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

AgentSkill

AgentSkill

WellKnown

WellKnown

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

ErrorCatalog

Conformance

Build 2

SDKs, sample code, and the tooling you integrate with

SDKs

SDKs

Packages

Packages

Access & Security 6

Authentication, authorization, and security posture

Compliance

Security

Authentication

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

ChangeLog

ChangeLog

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: llmintel-ai
name: llmintel-ai
description: LLMIntel provides runtime telemetry for large language model (LLM) cost, usage, and optimization. It meters every
  model call across OpenAI, Anthropic, Azure, AWS Bedrock, and Google, showing real spend by app, environment, and key. It
  flags cheaper on‑par alternatives and warns before model deprecation. Free under $300/mo of tracked spend, with paid plans
  scaling with usage.
image: https://llmintel.ai/opengraph-image?a0ab1b6b7a9530c6
url: https://artifacts.apis.io/llmintel-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-30 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- AI
- Cost
- Observability
- Telemetry
- GenAI
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: AgenticAccess
  url: agentic-access/llmintel-ai-agentic-access.yml
- type: Spectral
  url: rules/llmintel-ai-rules.yml
- type: JSONLD
  url: json-ld/llmintel-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/llmintel-ai-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/llmintel-ai-data-model.yml
- type: ChangeLog
  url: changelog/llmintel-ai-changelog.yml
- type: Compliance
  url: https://llmintel.ai/security
- type: Security
  url: security/llmintel-ai-vulnerability-disclosure.yml
- type: Authentication
  url: authentication/llmintel-ai-authentication.yml
- type: ErrorCatalog
  url: errors/llmintel-ai-problem-types.yml
- type: Conformance
  url: conformance/llmintel-ai-conformance.yml
- type: WellKnown
  url: well-known/llmintel-ai-well-known.yml
- type: Hosts
  url: hosts/llmintel-ai-hosts.yml
- type: Vendors
  url: vendors/llmintel-ai-vendors.yml
- type: SDKs
  url: packages/llmintel-ai-packages.yml
- type: Packages
  url: packages/llmintel-ai-packages.yml
- type: ChangeLog
  url: https://llmintel.ai/changelog
- type: TrustCenter
  url: security/llmintel-ai-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/llmintel-ai-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/llmintel-ai-domain-security.yml
- type: Website
  url: https://llmintel.ai/
- type: DeveloperPortal
  url: https://llmintel.ai/mcp
- type: Documentation
  url: https://llmintel.ai/docs
- type: APIReference
  url: https://llmintel.ai/docs
- type: GettingStarted
  url: https://llmintel.ai/demo
- type: Support
  url: https://llmintel.ai/dashboard
- type: Pricing
  url: https://llmintel.ai/pricing
- type: TermsOfService
  url: https://llmintel.ai/terms
- type: PrivacyPolicy
  url: https://llmintel.ai/privacy
apis:
- aid: llmintel-ai:llmintel-ai-compare-api
  name: llmintel-ai Compare API
  description: Side-by-side comparison of models across cost, performance, and lifecycle.
  humanURL: https://llmintel.ai/docs
  baseURL: https://llmintel.ai
  tags:
  - Compare
  properties:
  - type: OpenAPI
    url: openapi/llmintel-ai-compare-api-openapi.yml
  - type: JSONSchema
    url: json-schema/llmintel-ai-model-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-model-detail-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-comparison-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-telemetry-request-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-status-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-event-schema.json
- aid: llmintel-ai:llmintel-ai-events-api
  name: llmintel-ai Events API
  description: Lifecycle change events for incremental polling.
  humanURL: https://llmintel.ai/docs
  baseURL: https://llmintel.ai
  tags:
  - Events
  properties:
  - type: OpenAPI
    url: openapi/llmintel-ai-events-api-openapi.yml
  - type: JSONSchema
    url: json-schema/llmintel-ai-model-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-model-detail-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-comparison-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-telemetry-request-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-status-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-event-schema.json
- aid: llmintel-ai:llmintel-ai-models-api
  name: llmintel-ai Models API
  description: Tracked models and their current canonical lifecycle state.
  humanURL: https://llmintel.ai/docs
  baseURL: https://llmintel.ai
  tags:
  - Models
  properties:
  - type: OpenAPI
    url: openapi/llmintel-ai-models-api-openapi.yml
  - type: JSONSchema
    url: json-schema/llmintel-ai-model-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-model-detail-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-comparison-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-telemetry-request-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-status-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-event-schema.json
- aid: llmintel-ai:llmintel-ai-status-api
  name: llmintel-ai Status API
  description: Public freshness / SLA transparency signal.
  humanURL: https://llmintel.ai/docs
  baseURL: https://llmintel.ai
  tags:
  - Status
  properties:
  - type: OpenAPI
    url: openapi/llmintel-ai-status-api-openapi.yml
  - type: JSONSchema
    url: json-schema/llmintel-ai-model-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-model-detail-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-comparison-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-telemetry-request-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-status-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-event-schema.json
- aid: llmintel-ai:llmintel-ai-telemetry-api
  name: llmintel-ai Telemetry API
  description: Ingest runtime model usage for cost analysis and model discovery.
  humanURL: https://llmintel.ai/docs
  baseURL: https://llmintel.ai
  tags:
  - Telemetry
  properties:
  - type: OpenAPI
    url: openapi/llmintel-ai-telemetry-api-openapi.yml
  - type: JSONSchema
    url: json-schema/llmintel-ai-model-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-model-detail-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-comparison-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-telemetry-request-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-status-schema.json
  - type: JSONSchema
    url: json-schema/llmintel-ai-event-schema.json
x-enrichment:
  date: '2026-10-30'
  status: enriched
  artifacts_added: 36
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

llmintel-ai API — frequently asked questions

Does llmintel-ai have an API?

Yes. APIs.io lists 5 APIs from llmintel-ai, including llmintel-ai Compare API, llmintel-ai Events API and llmintel-ai Models API, and 2 more.

Is there an OpenAPI specification for the llmintel-ai API?

Yes. APIs.io indexes 5 OpenAPI specifications for llmintel-ai, each linked for download from this page.

How do I authenticate with the llmintel-ai API?

llmintel-ai uses bearer-token authentication (1 scheme). The details are profiled on APIs.io as Llmintel Ai Authentication.

Is the llmintel-ai API ready for AI agents?

llmintel-ai has a Kin Score of 55.8 out of 100 (strong) and an Agent Readiness score of 37.4 (agent-ready), scored by API Evangelist on 2026-10-31.

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