l1m.io

l1m.io provides a Structured Data Extraction API that transforms unstructured text and images into structured JSON using LLMs. It offers a simple schema‑first approach, zero prompt engineering, provider flexibility, built‑in caching, and no data retention. The service is open‑source and also available as a hosted solution with a free tier, targeting developers who need reliable data extraction without complex prompt design.

l1m.io is listed with 1 API on the APIs.io network. Tagged areas include Company, Data Extraction, LLM, and Open Source.

l1m.io’s developer surface includes documentation, API reference, and 8 more developer resources.

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7.5/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API

Company Data Extraction LLM Open Source

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 7.5/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 2.6 / 17

Access Clarity 0.0 / 17

Operational Transparency 1.2 / 11

Contract Governance 0.0 / 10

Discoverability 3.8 / 9

Regulatory Posture 0.8 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 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 Horizontal (data, software, accessibility, platform) 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
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 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
Access Clarity scores 0.0 — up to +20.0 composite points
Developer Ergonomics scores 15.5 — up to +16.9 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/l1m/apis.yml: open an issue on github.com/api-evangelist/l1m 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 1

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

Structured Data Extraction API

Provides a Structured Data Extraction API that transforms unstructured text and images into structured JSON using LLMs.

Security Posture 1

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

L1M Domain Security

TLSv1.3

SECURITY

Resources

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

Build 2

SDKs, sample code, and the tooling you integrate with

SDKs

SDKs

Packages

Packages

Access & Security 2

Authentication, authorization, and security posture

SecurityTxt

SecurityTxt

DomainSecurity

DomainSecurity

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: l1m
name: l1m.io
description: l1m.io provides a Structured Data Extraction API that transforms unstructured text and images into structured
  JSON using LLMs. It offers a simple schema‑first approach, zero prompt engineering, provider flexibility, built‑in caching,
  and no data retention. The service is open‑source and also available as a hosted solution with a free tier, targeting developers
  who need reliable data extraction without complex prompt design.
url: https://raw.githubusercontent.com/api-evangelist/l1m/refs/heads/main/apis.yml
x-type: company
x-source: harvest:g2-catalog
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-18 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.20'
created: '2026-10-18'
modified: '2026-10-18'
tags:
- Company
- Data Extraction
- LLM
- Open Source
tags_raw:
- Company
- Data Extraction
- LLM
- API
- Open Source
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: SecurityTxt
  url: well-known/l1m-developer-security.txt
- type: WellKnown
  url: well-known/l1m-well-known.yml
- type: Hosts
  url: hosts/l1m-hosts.yml
- type: Vendors
  url: vendors/l1m-vendors.yml
- type: SDKs
  url: packages/l1m-packages.yml
- type: Packages
  url: packages/l1m-packages.yml
- type: Documentation
  url: https://developer.docs.google.com/
- type: DomainSecurity
  url: security/l1m-domain-security.yml
- type: Website
  url: https://l1m.io/
- type: APIReference
  url: https://api.l1m.io/structured
apis:
- name: Structured Data Extraction API
  description: Provides a Structured Data Extraction API that transforms unstructured text and images into structured JSON
    using LLMs.
  humanURL: https://l1m.io/
  aid: l1m:structured-data-extraction-api
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: The API reference page returns HTTP 530 errors for common OpenAPI paths, indicating the docs are behind a JavaScript-rendered
    interface.
  evidence:
  - url: https://api.l1m.io/openapi.json
    status: 530
  checked: '2026-10-18'
x-enrichment:
  date: '2026-10-18'
  status: enriched
  artifacts_added: 16
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

l1m.io API — frequently asked questions

Does l1m.io have an API?

Yes. APIs.io lists 1 API from l1m.io, including Structured Data Extraction API.

Is the l1m.io API ready for AI agents?

l1m.io has a Kin Score of 7.5 out of 100 (minimal) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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