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sensible-so

Sensible is a document-automation API platform that extracts structured data from PDFs, images, spreadsheets, and emails using a hybrid of deterministic layout-based methods and LLM-based query methods. SenseML, Sensible's config language, lets engineers declare what to pull and where. The platform ships with 150+ open-source pre-built configurations across financial services, insurance, logistics, real estate, and healthcare. Sensible exposes sync and async extraction, classification, portfolio segmentation, CSV/Excel export, human review, coverage statistics, configuration versioning, and webhook delivery, all behind a bearer-auth REST surface plus a Postman collection, an MCP server, and Python / JavaScript SDKs.

agent ready

Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.

Kin Score

API Evangelist profiles sensible-so the way a machine reads it — 71 machine-readable artifacts across 7 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 — sensible-so scores 70.9/100 (exemplar), with a separate agent-readiness read of 60/100 (agent ready). 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 — 70.9/100 · exemplar
Contract Quality 18.6 / 25
Developer Ergonomics 13.9 / 20
Commercial Clarity 11.6 / 20
Operational Transparency 8.9 / 13
Governance 10.4 / 12
Discoverability 7.5 / 10
Agent readiness — 60/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 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 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile sensible-so

Each block below is one kind of artifact we hold for sensible-so. 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 7

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.

sensible-so Configuration API

The Configuration API from sensible-so — 4 operation(s) for configuration.

sensible-so Document API

Classify documents by type

sensible-so Document type API

The Document type API from sensible-so — 2 operation(s) for document type.

sensible-so Get Excel from documents API

Convert extracted document data to spreadsheet

sensible-so Portfolio API

Extract data from multiple documents bundled into single PDF files

sensible-so Reference document API

The Reference document API from sensible-so — 4 operation(s) for reference document.

sensible-so Retrieve extractions API

Retrieve data extracted asynchronously from documents

Scroll within the panel for all 7 ·

Postman Collections 4

A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.

Ready-to-run Postman collections for exercising this provider's APIs.

Open Collections 4

Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.

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

Arazzo Workflows 15

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.

Sensible Classify Then Extract

Classify a document to discover its best-fit document type, then submit an asynchronous extraction against that type.

ARAZZO

Sensible Config Versions Then Get By Version

List the version history of a configuration, then fetch one specific version of that configuration in full.

ARAZZO

Sensible Create Document Type And Configuration

Create a new document type and then add a SenseML configuration to it in one pass.

ARAZZO

Sensible Create Reference Document And List

Register a reference document in a document type, then list the type's reference documents to confirm registration.

ARAZZO

Sensible Extract From URL And Poll

Kick off an asynchronous extraction from a document URL with a chosen config, poll until it completes, then read the parsed results.

ARAZZO

Sensible Extract From URL Poll Then CSV

Asynchronously extract a document from a URL, poll until complete, then export the extraction as a CSV file.

ARAZZO

Sensible Extract Reference Text Then List

Pull all standardized text from a reference document, then list the document type's reference documents.

ARAZZO

Sensible Get Document Type Then List Configurations

Fetch a document type by id and then enumerate the configurations defined inside it.

ARAZZO

Sensible List Configurations Then Get

List the configurations in a document type, then fetch the full stringified JSON of one named configuration.

ARAZZO

Sensible List Document Types Then Extract

Confirm a document type exists in the account before submitting an asynchronous extraction against it.

ARAZZO

Sensible List Extractions Then Retrieve

List recent extractions with filters, then retrieve the full result of the most recent matching extraction.

ARAZZO

Sensible Portfolio Extract From URL And Poll

Segment and extract a multi-document portfolio at a URL, then poll until every sub-document extraction completes.

ARAZZO

Sensible Portfolio Upload URL And Poll

Generate a Sensible-signed upload URL for a multi-document portfolio, then poll the portfolio extraction to completion.

ARAZZO

Sensible Sync Extract Then Spreadsheet

Synchronously extract a document, then convert that extraction to a downloadable Excel spreadsheet.

ARAZZO

Sensible Upload URL Extract And Poll

Generate a Sensible-signed upload URL for a document type, then poll the extraction id until results are ready.

ARAZZO

Scroll within the panel for all 15 ·

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.

Pricing 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 six things the Kin Score reads for commercial clarity.

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.

Sensible So Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

Cost, billing, and metering signals for API financial operations.

Features 22

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Hybrid extraction combining layout-based methods (label, region, box, paragraph, fixed_table, row, column, intersection, regex) with LLM-based methods (query_group, list, nlp_table)
SenseML configuration language with version control (draft, development, production) and environment promotion
150+ pre-built configurations in the open-source sensible-configuration-library covering common document types (1040, W-2, 1099, ACORD forms, loss runs, bank statements, rate confirmations)
Synchronous extraction `/extract/{document_type}` (testing) and asynchronous extraction `/extract_from_url`, `/generate_upload_url` (production)
Portfolio extractions — segment a packaged PDF into multiple document types and extract each automatically
Webhook delivery on extraction COMPLETE or human review APPROVED
Document classification (sync + async) into account-defined document types
Confidence scoring and fallback configs for LLM-based methods
Computer vision-enhanced table detection and automatic + selective OCR (handwriting supported)
Document splitting and fingerprinting for multi-document PDFs
CSV and Excel output endpoints (`/generate_csv`, `/generate_excel`) for one or many extractions
Daily coverage statistics per configuration (`/extractions/statistics`) for tuning and FinOps attribution
Reference documents ("goldens") for layout tuning and fingerprinting
Human review workflow with magic-link account auth tokens for non-account reviewers
Validations (warning / error severity) declared inside the document-type schema
Per-document pricing (linear, no token volatility) — Growth $499/mo (750 docs), Scale $1,499/mo (3,200 docs), Enterprise custom
Bearer API key authentication; per-second concurrency limits scale by plan (1 → 10 → 25+)
Python and JavaScript/TypeScript SDKs, Salesforce and QuickBooks integration examples
Postman collection (16839934-45339059-3fec-4c31-a891-9a12a3e1c22b) for hands-on exploration
Zapier app for Airtable, Slack, Google Sheets integrations
Remote MCP server at https://docs.sensible.so/mcp for AI editors (Cursor, Windsurf, Claude Desktop)
HIPAA on Enterprise; SOC 2 Type II

Scroll within the panel for all 22 ·

Semantic 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.

Sensible So Context

0 classes · 6 properties

JSON-LD

Spectral Rules 2

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.

sensible-so API Rules

5 rules · 4 warnings

SPECTRAL

sensible-so API Rules

12 rules · 9 errors · 3 warnings

SPECTRAL

JSON Schema 2

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.

SensibleDocumentType

8 properties

JSON SCHEMA

SensibleExtraction

13 properties

JSON SCHEMA

Examples 5

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Security Posture 4

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.

Sensible So Authentication

http · 1 scheme

SECURITY

Sensible So Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Sensible So Vulnerability Disclosure

disclosure policy published

SECURITY

Sensible So Trust Center

SOC 2, HIPAA

SECURITY

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.

Sensible So Agentic Access

32 operations · 19 acting

32 operations · 19 acting

AGENTIC

Resources

Every other property we hold for sensible-so — 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.

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Operate 3

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

Other 1

Properties that don't map to a standard resource type

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