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Opereit

Opereit is a Barcelona-based logistics technology company building AI agents that audit, claim, and recover logistics costs autonomously. Its agents detect carrier invoice discrepancies, identify lost and damaged shipments, and file carrier claims end to end with no human in the loop. The public Opereit Invoice Auditing API lets developers upload carrier contracts (rate cards and surcharges are extracted asynchronously), audit incoming carrier invoices against those contracts, and retrieve the resulting line items and discrepancy findings — building automated cost-recovery workflows without the dashboard. Opereit raised a ~$2.5M pre-seed round led by Seedcamp and Yellow in 2026.

agent aware

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Opereit the way a machine reads it — 7 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 — Opereit scores 39.1/100 (thin), with a separate agent-readiness read of 43/100 (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.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 39.1/100 · thin
Contract Quality 15.1 / 25
Developer Ergonomics 12.2 / 20
Commercial Clarity 2.6 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 43/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 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 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Opereit

Each block below is one kind of artifact we hold for Opereit. 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 2

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.

Opereit Contracts API

The Contracts API from Opereit — 3 operation(s) for contracts.

Opereit Invoice Audits API

The Invoice Audits API from Opereit — 3 operation(s) for invoice audits.

Arazzo Workflows 2

Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.

Multi-step API workflows described with the Arazzo specification.

_Index

ARAZZO

Opereit — audit a carrier invoice against a contract

Upload a contract, upload and audit an invoice against it, then read the findings.

ARAZZO

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.

opereit-mcp.yml

MCP SERVER

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.

Opereit Authentication

http · 1 scheme

SECURITY

Opereit Domain Security

TLSv1.3 · DNSSEC · DMARC

SECURITY

Resources

Every other property we hold for Opereit — 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 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Access & Security 2

Authentication, authorization, and security posture

Company 2

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/opereit · machine-readable index on apis.io