Fastino Labs

Fastino Labs is an applied research lab building production-ready small language models (SLMs) for agentic AI — structured data extraction, classification, PII detection, and safety moderation. Its Pioneer platform is an agentic fine-tuning and inference API that lets teams generate synthetic training data, fine-tune GLiNER encoder models and open-source decoder LLMs (Qwen, Llama, DeepSeek, Gemma), evaluate them against labeled datasets, and serve inference through native, OpenAI-compatible, and Anthropic-compatible endpoints. Fastino also maintains the open-source GLiNER2 schema-based information-extraction model and the GLiGuard safety-moderation model.

Fastino Labs publishes 4 API contracts indexed on the APIs.io network, including Anthropic Compat API, Inference API, Inference History API, and 1 more. Tagged areas include Company, Artificial Intelligence, Machine Learning, Small Language Models, and Fine-Tuning.

Fastino Labs’ developer surface includes documentation, API reference, getting-started guide, pricing, signup flow, support, engineering blog, and 27 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

47.6/100 developing ▼ -9.0 Agent 55/100 agent ready Front door AI 4/6 moderate Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-01 · rubric v0.26.0 · Show this score on your site →

1 published contract 1 MCP Servers 6 Agent Skills

Company Artificial Intelligence Machine LearningSmall Language ModelsFine-Tuning Inference Named Entity RecognitionInformation ExtractionLLM AgentsPII DetectionModel Training Foundation Models

What this lets a business do 2

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information & Data Management

BC-610

Inferenceanthropic-compatinference-history

POST /inference GET /v1/models POST /v1/messages GET /inferences

AI Model Services

AE-110

openai-compat

POST /v1/chat/completions

Kin Score

Kin Score How this is scored →
scored 2026-11-01 · rubric v0.26.0

Composite quality — 47.6/100 · developing

Contract Quality 10.3 / 19

Developer Ergonomics 11.8 / 15

Access Clarity 1.6 / 15

Operational Transparency 5.4 / 10

Contract Governance 0.4 / 9

Discoverability 5.4 / 8

Regulatory Posture 4.5 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 55/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 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 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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):

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
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
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too
Agentic Commerce Well-Known Document +5 pts — a parsing /.well-known/ucp.json or acp.json declaring a version and at least one service — `self` when its endpoints are on the provider's own domain, `platform` when they are on a vendor's

2 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 10.5 — up to +17.9 composite points
Contract Governance scores 4.5 — up to +11.5 composite points
Contract Quality scores 55.0 — up to +11.3 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/fastino-labs/apis.yml: open an issue on github.com/api-evangelist/fastino-labs 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 →

Standards implemented 4

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

Agent Skills

measured — observed by APIs.io (published)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

OpenAPI

measured — observed by APIs.io (published)

APIs 4

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

Fastino Labs Anthropic Compat API

Anthropic-compatible endpoints. Use with the Anthropic SDK by setting base_url=https://api.pioneer.ai.

Fastino Labs Inference API

Pioneer-native inference endpoint (encoder NER/classification/extraction and decoder text generation).

Fastino Labs Inference History API

List and retrieve past inference records.

Fastino Labs Openai Compat API

OpenAI-compatible endpoints. Use with the OpenAI SDK by setting base_url=https://api.pioneer.ai/v1.

Open Collections 4

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Pioneer Inference anthropic-compat API

OPEN COLLECTION

Pioneer anthropic-compat inference API

OPEN COLLECTION

Pioneer Inference anthropic-compat inference-history API

OPEN COLLECTION

Pioneer Inference anthropic-compat openai-compat API

OPEN COLLECTION

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Fastino Labs MCP Server

Mintlify-hosted documentation MCP server for the Pioneer docs.

MCP SERVER

Agent Skills 6

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

pioneer-api

AGENT SKILL

pioneer-datasets

AGENT SKILL

pioneer-evaluate

AGENT SKILL

pioneer-fine-tune

AGENT SKILL

pioneer-inference

AGENT SKILL

pioneer-synthetic-data

AGENT SKILL

Rate Limits 1

Documented rate limits and quota policies.

Fastino Labs Rate Limits

7 limits

RATE LIMITS

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Fastino Labs Pioneer Overlay

4 actions · update · pioneer-openapi-original.json

DERIVED

Security Posture 3

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

Fastino Labs Authentication

apiKey/http · 2 schemes

SECURITY

Fastino Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Fastino Labs Vulnerability Disclosure

security.txt · contact published

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Fastino Labs Scopes

4 scopes

SCOPES

Agentic Access 1

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

Fastino Labs Agentic Access

8 operations · 5 acting

AGENTIC

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

MCPServer

LLMsTxt

WellKnown

AgenticAccess

AgentSkill

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

ErrorCatalog

Conventions

Lifecycle

Conformance

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 6

Authentication, authorization, and security posture

Authentication

OAuthScopes

SecurityTxt

DomainSecurity

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Overlay

Overlay

Source (apis.yml)

aid: fastino-labs
name: Fastino Labs
description: Fastino Labs is an applied research lab building production-ready small language models (SLMs) for agentic AI
  — structured data extraction, classification, PII detection, and safety moderation. Its Pioneer platform is an agentic fine-tuning
  and inference API that lets teams generate synthetic training data, fine-tune GLiNER encoder models and open-source decoder
  LLMs (Qwen, Llama, DeepSeek, Gemma), evaluate them against labeled datasets, and serve inference through native, OpenAI-compatible,
  and Anthropic-compatible endpoints. Fastino also maintains the open-source GLiNER2 schema-based information-extraction model
  and the GLiGuard safety-moderation model.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - scopes
  - rate-limits
  - security
  generated: '2026-09-03'
  method: derived
image: https://raw.githubusercontent.com/fastino-ai/mintlify-docs/main/images/pioneer-wordmark-dark.svg
url: https://raw.githubusercontent.com/api-evangelist/fastino-labs/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
x-tier: enriched
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Small Language Models
- Fine-Tuning
- Inference
- Named Entity Recognition
- Information Extraction
- LLM
- Agents
- PII Detection
- Model Training
- Foundation Models
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Small Language Models
- Fine-Tuning
- Inference
- Named Entity Recognition
- Information Extraction
- LLM
- Agents
- PII Detection
- Model Training
- Machine-Learning
- Foundation Models
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- aid: fastino-labs:fastino-labs-anthropic-compat-api
  name: Fastino Labs Anthropic Compat API
  description: Anthropic-compatible endpoints. Use with the Anthropic SDK by setting base_url=https://api.pioneer.ai.
  humanURL: https://docs.pioneer.ai/api-reference
  baseURL: https://api.pioneer.ai
  tags:
  - anthropic-compat
  properties:
  - type: OpenAPI
    url: openapi/fastino-labs-anthropic-compat-api-openapi.yml
  - type: Authentication
    url: authentication/fastino-labs-authentication.yml
  - type: OAuthScopes
    url: scopes/fastino-labs-scopes.yml
  - type: ErrorCatalog
    url: errors/fastino-labs-error-codes.yml
  - type: Conventions
    url: conventions/fastino-labs-conventions.yml
  - type: DataModel
    url: data-model/fastino-labs-data-model.yml
  - type: RateLimits
    url: rate-limits/fastino-labs-rate-limits.yml
  - type: AgenticAccess
    url: agentic-access/fastino-labs-agentic-access.yml
- aid: fastino-labs:fastino-labs-inference-api
  name: Fastino Labs Inference API
  description: Pioneer-native inference endpoint (encoder NER/classification/extraction and decoder text generation).
  humanURL: https://docs.pioneer.ai/api-reference
  baseURL: https://api.pioneer.ai
  tags:
  - Inference
  tags_raw:
  - inference
  properties:
  - type: OpenAPI
    url: openapi/fastino-labs-inference-api-openapi.yml
  - type: Authentication
    url: authentication/fastino-labs-authentication.yml
  - type: OAuthScopes
    url: scopes/fastino-labs-scopes.yml
  - type: ErrorCatalog
    url: errors/fastino-labs-error-codes.yml
  - type: Conventions
    url: conventions/fastino-labs-conventions.yml
  - type: DataModel
    url: data-model/fastino-labs-data-model.yml
  - type: RateLimits
    url: rate-limits/fastino-labs-rate-limits.yml
  - type: AgenticAccess
    url: agentic-access/fastino-labs-agentic-access.yml
- aid: fastino-labs:fastino-labs-inference-history-api
  name: Fastino Labs Inference History API
  description: List and retrieve past inference records.
  humanURL: https://docs.pioneer.ai/api-reference
  baseURL: https://api.pioneer.ai
  tags:
  - inference-history
  properties:
  - type: OpenAPI
    url: openapi/fastino-labs-inference-history-api-openapi.yml
  - type: Authentication
    url: authentication/fastino-labs-authentication.yml
  - type: OAuthScopes
    url: scopes/fastino-labs-scopes.yml
  - type: ErrorCatalog
    url: errors/fastino-labs-error-codes.yml
  - type: Conventions
    url: conventions/fastino-labs-conventions.yml
  - type: DataModel
    url: data-model/fastino-labs-data-model.yml
  - type: RateLimits
    url: rate-limits/fastino-labs-rate-limits.yml
  - type: AgenticAccess
    url: agentic-access/fastino-labs-agentic-access.yml
- aid: fastino-labs:fastino-labs-openai-compat-api
  name: Fastino Labs Openai Compat API
  description: OpenAI-compatible endpoints. Use with the OpenAI SDK by setting base_url=https://api.pioneer.ai/v1.
  humanURL: https://docs.pioneer.ai/api-reference
  baseURL: https://api.pioneer.ai
  tags:
  - openai-compat
  properties:
  - type: OpenAPI
    url: openapi/fastino-labs-openai-compat-api-openapi.yml
  - type: Authentication
    url: authentication/fastino-labs-authentication.yml
  - type: OAuthScopes
    url: scopes/fastino-labs-scopes.yml
  - type: ErrorCatalog
    url: errors/fastino-labs-error-codes.yml
  - type: Conventions
    url: conventions/fastino-labs-conventions.yml
  - type: DataModel
    url: data-model/fastino-labs-data-model.yml
  - type: RateLimits
    url: rate-limits/fastino-labs-rate-limits.yml
  - type: AgenticAccess
    url: agentic-access/fastino-labs-agentic-access.yml
common:
- type: CapabilityMap
  url: capabilities/fastino-labs-capability-edges.yml
  name: Fastino Labs Business Capability Map
- type: Overlay
  url: overlays/fastino-labs-pioneer-overlay.yaml
- type: Website
  url: https://www.fastino.ai/
- type: DeveloperPortal
  url: https://docs.pioneer.ai
- type: Documentation
  url: https://docs.pioneer.ai
- type: APIReference
  url: https://docs.pioneer.ai/api-reference
- type: GettingStarted
  url: https://docs.pioneer.ai/quickstart
- type: Pricing
  url: https://docs.pioneer.ai/pricing
- type: SignUp
  url: https://agent.pioneer.ai
- type: Support
  url: https://discord.gg/e99x4szUYS
- type: Blog
  url: https://www.fastino.ai/blog
- type: GitHubOrganization
  url: https://github.com/fastino-ai
- type: StatusPage
  url: https://pioneerai.statuspage.io
- type: TermsOfService
  url: https://agent.pioneer.ai/terms
- type: PrivacyPolicy
  url: https://agent.pioneer.ai/privacy
- type: Authentication
  url: authentication/fastino-labs-authentication.yml
- type: OAuthScopes
  url: scopes/fastino-labs-scopes.yml
- type: Packages
  url: packages/fastino-labs-packages.yml
- type: SDKs
  url: packages/fastino-labs-packages.yml
- type: CLI
  url: cli/fastino-labs-cli.yml
- type: MCPServer
  url: mcp/fastino-labs-mcp.yml
- type: LLMsTxt
  url: llms/fastino-labs-llms.txt
- type: WellKnown
  url: well-known/fastino-labs-well-known.yml
- type: SecurityTxt
  url: well-known/fastino-labs-security.txt
- type: RateLimits
  url: rate-limits/fastino-labs-rate-limits.yml
- type: ErrorCatalog
  url: errors/fastino-labs-error-codes.yml
- type: Conventions
  url: conventions/fastino-labs-conventions.yml
- type: Lifecycle
  url: lifecycle/fastino-labs-lifecycle.yml
- type: Conformance
  url: conformance/fastino-labs-conformance.yml
- type: DomainSecurity
  url: security/fastino-labs-domain-security.yml
- type: VulnerabilityDisclosure
  url: security/fastino-labs-vulnerability-disclosure.yml
- type: Security
  url: https://fastino.ai/.well-known/security.txt
- type: AgenticAccess
  url: agentic-access/fastino-labs-agentic-access.yml
- type: AgentSkill
  url: skills/_index.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Fastino Labs API — frequently asked questions

Does Fastino Labs have an API?

Yes. APIs.io lists 4 APIs from Fastino Labs, including Fastino Labs Anthropic Compat API, Fastino Labs Inference API and Fastino Labs Inference History API, and 1 more.

Is there an OpenAPI specification for the Fastino Labs API?

Yes. APIs.io indexes 4 OpenAPI specifications for Fastino Labs, each linked for download from this page.

How do I authenticate with the Fastino Labs API?

Fastino Labs documents its authentication (apiKey/http · 2 schemes). The details are profiled on APIs.io as Fastino Labs Authentication.

Does Fastino Labs have an MCP server?

Yes. APIs.io lists 1 MCP server for Fastino Labs: Mintlify-hosted documentation MCP server for the Pioneer docs.

Is the Fastino Labs API ready for AI agents?

Fastino Labs has a Kin Score of 47.6 out of 100 (developing) and an Agent Readiness score of 54.6 (agent-ready), scored by API Evangelist on 2026-11-01.

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