Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the neugeschaeft REST-API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fneugeschaeft.de%2Fneugeschaeft" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fneugeschaeft.de%2Fneugeschaeft" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
What an agent can do with neugeschaeft REST-API.
Search roughly 11 million DACH company records with detailed or selection-list results
Export selected company records and read export info and fill-rate statistics
Create, copy, rename, and share company lists
Add and remove records in a company list and read them back
Monitor saved company lists for changes
GET STARTED
Run data-match projects to reconcile your records against the database
Patterns agents use neugeschaeft REST-API for, with concrete tasks.
★ AI Agent Company Lookup
An AI agent connected through Jentic finds companies that match a user's criteria across the DACH region and exports the matching records for downstream use. Detailed search returns full firmographic records, while the selection-list variant returns summarized matches when the agent only needs a shortlist.
Search for companies matching given criteria and export the matching records
List Building and Monitoring
A sales operation builds a company list, adds matching records, and sets up monitoring so changes to those companies are surfaced over time. Lists can be copied, renamed, and shared with colleagues, keeping a working set in one place.
Create a company list, add matching records, and set up monitoring for changes
Data Matching and Reconciliation
To clean a CRM, an agent runs a data-match project: it creates the project, adds the records to reconcile, starts the match, and reads the result against the database. This flags which of your records correspond to known companies.
Create a data-match project, add your records, start it, and read the match results
29 endpoints — the neugeschaeft rest-api provides programmatic access to a business database of roughly 11 million company records across the dach region.
METHOD
PATH
DESCRIPTION
/search/fi
Search companies with detailed results
/export
Export selected company records
/export/info
Get export info
/fls/list
List company lists
/fls/create
Create a company list
/datamatch/create
Create a data-match project
/datamatch/result
Get data-match results
/search/fi
Search companies with detailed results
/export
Export selected company records
/export/info
Get export info
/fls/list
List company lists
/fls/create
Create a company list
/datamatch/create
Create a data-match project
/datamatch/result
Get data-match results
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the neugeschaeft REST-API by hand means setting up HTTP Basic authentication, tracking your query credits, and shaping each company search and export yourself. Through Jentic you install once, import neugeschaeft from the API Directory, store the credentials once, and your agent calls it.
Permission scoping
neugeschaeft carries search criteria and list identifiers in the request body, so rules bound which operations your agent may call, not which lists it touches. You choose the operations it may use, such as searching and exporting records, so deleting or sharing a company list is not included unless you add it.
Credential isolation
Your neugeschaeft Basic auth credentials are stored once, encrypted, by your own Jentic One instance and injected at execution time. They never enter the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'search company records' or 'export companies', and Jentic returns the matching neugeschaeft operation with its input schema so the agent calls the right endpoint without reading the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using neugeschaeft REST-API through Jentic.
What authentication does the neugeschaeft REST-API use?
It uses HTTP Basic authentication, as declared in its OpenAPI spec. You send your username and password with the request. Through Jentic the credentials are stored encrypted by your own Jentic One instance and injected at call time, so they never appear in the agent's prompt or logs.
Can I search for companies in the DACH region with the neugeschaeft REST-API?
Yes. The company-search operation returns detailed records, a selection-list variant returns summarized matches, and you can export the results and read fill-rate statistics for the export.
What are the rate limits for the neugeschaeft REST-API?
The OpenAPI spec does not specify rate limits; usage is governed by the query credits on your account, which you can read through the credits operation. Check your neugeschaeft account for your current credit balance before running large exports.
Can I limit what my agent is allowed to do with the neugeschaeft REST-API?
Yes. Write a rule that allows only the search and export operations, so the agent can find and pull company records but cannot create, delete, or share company lists, and every call it makes is logged.
How do I search for companies with the neugeschaeft REST-API through Jentic?
Search Jentic for 'search company records', add the neugeschaeft REST-API from the directory, and store your Basic credentials once. Your agent runs the search and exports the matching records. To run it on your own infrastructure, install Jentic One from its GitHub repo.
Is there a neugeschaeft REST-API MCP server?
You don't need an MCP server to give your agent the neugeschaeft REST-API. Jentic connects it directly from the API Directory: import it, store your credentials once, and your agent calls the search, export, list, and data-match operations. That keeps extra tool definitions out of the agent's context.
Know of an official OpenAPI document? Contribute it →
For Agents
Search roughly 11 million DACH company records, export selected records, build and monitor company lists, and run data-match reconciliation projects.
Use for: Search for companies in the DACH region by criteria, Export a set of company records, Create a new company list, Add records to a company list
Not supported: Does not handle payments, email outreach, or CRM pipeline management. Use for company data search, export, and matching only.
The neugeschaeft REST-API provides programmatic access to a business database of roughly 11 million company records across the DACH region. It searches companies with detailed or selection-list results, exports selected records with fill-rate statistics, and builds and shares company lists. It also monitors lists for changes and runs data-match projects that reconcile your own records against the database.
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
Base layer of spec validity and structural soundness.
Aggregated quality score from linter diagnostics, weighted by severity.
Percentage of `$ref` references that resolve successfully.
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
Structural correctness score based on schema issues using logarithmic dampening.
Clarity, completeness, and ingestion readiness for developers and tooling.
How richly the API is illustrated with examples.
Percentage of examples that conform to their schemas.
Percentage of operations with complete response definitions (success, client error, server error).
Health of API ingestion, bundling, and resolution within Jentic pipelines.
Semantic breadth, depth, and agent comprehension for AI systems.
Coverage of descriptions across API elements.
Coverage of RFC 9457 Problem Details for error responses.
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
Coverage of summaries across operations/tags/info.
Functional utility, complexity comfort, and AI orchestration readiness.
Agent comfort level based on API operational and structural complexity.
Trust, risk posture, and security compliance.
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
Findability, semantic richness, and reasoning readiness.
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>