Apptivegrid De ApptiveGrid REST API
54
AI ReadinessFoundational (C)54/100
Official vendor OpenAPI document · agent-readyStorageDatabasebasic, bearer160 EndpointsREST
For Agents
Create grids, read and write their entities and fields, query and export views, and build forms that feed a grid. Authenticates with an HTTP Basic access key or a bearer JWT.
Use for: Add a row to a grid, Update an entity in a grid, List the grids in a space, Query a grid for matching records
Not supported: Does not run a general SQL database, host arbitrary files, or send email campaigns. Use for managing ApptiveGrid spaces, grids, and their records only.
The ApptiveGrid REST API stores structured records in spaces, grids, and entities, so an application can treat a grid like a flexible table of typed fields and rows. You create spaces and grids, add and update entities, change field types and read a grid's schema, query and export grid views, and build forms that write submissions straight into a grid. It is a HAL-style hypermedia API, so each response lists the operations the caller is allowed on that resource, and it also carries flows and webhooks that react when grid data changes.
Install Jentic One Beta
Connect the ApptiveGrid REST API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the ApptiveGrid 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.
1
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%2Fapptivegrid.de%2Fapptivegrid" | sh2
Step 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%2Fapptivegrid.de%2Fapptivegrid" | 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.
Capabilities
What an agent can do with ApptiveGrid REST API.
Create spaces and grids to hold structured records
Add, update, and read entities in a grid
Add, rename, and retype fields and read a grid's schema
Query a grid and export a view as CSV
Build forms on a grid and collect their submissions
Define flows and webhooks that react to grid changes
Use Cases
Patterns agents use ApptiveGrid REST API for, with concrete tasks.
★ Agent-Managed Structured Data
An AI agent connected through Jentic reads a grid's schema, adds and updates entities, and queries for matching rows, so it can keep a structured table in sync without a human editing it by hand. Because each ApptiveGrid response advertises the operations allowed on that resource, the agent can discover what it may do next rather than guessing.
Read the schema of this grid, then add a row with the given field values and confirm it was written
Form-to-Grid Intake
A team builds a form on a grid and collects submissions straight into it, so responses land as typed entities ready to query or export. The form and its grid share a schema, which keeps incoming data clean enough to act on without a cleanup step.
Create a form on this grid and return the submitted entries as rows
Grid Automation and Webhooks
A workflow defines flows and webhooks on a space so that changes to a grid trigger downstream actions, giving an agent an event-driven view of the data instead of polling. The hooks can be tested before they go live, so a setup can be verified end to end.
Register a webhook on this grid that fires when an entity is added, then send a test payload through it
Key Endpoints
160 endpoints — the apptivegrid rest api stores structured records in spaces, grids, and entities, so an application can treat a grid like a flexible table of typed fields and rows.
METHOD
PATH
DESCRIPTION
GET
/api/users/{userId}/spaces
List spaces
GET
/api/users/{userId}/spaces/{spaceId}/grids
List grids in a space
POST
/api/users/{userId}/spaces/{spaceId}/grids/{gridId}/entities
Add an entity to a grid
PUT
/api/users/{userId}/spaces/{spaceId}/grids/{gridId}/entities/{entityId}
Update an entity
GET
/api/users/{userId}/spaces/{spaceId}/grids/{gridId}/query
Query a grid
GET
/api/users/{userId}/spaces/{spaceId}/grids/{gridId}/csv
Export a grid view as CSV
GET
/api/users/{userId}/spaces
List spaces
GET
/api/users/{userId}/spaces/{spaceId}/grids
List grids in a space
POST
/api/users/{userId}/spaces/{spaceId}/grids/{gridId}/entities
Add an entity to a grid
PUT
/api/users/{userId}/spaces/{spaceId}/grids/{gridId}/entities/{entityId}
Update an entity
GET
/api/users/{userId}/spaces/{spaceId}/grids/{gridId}/query
Query a grid
GET
/api/users/{userId}/spaces/{spaceId}/grids/{gridId}/csv
Export a grid view as CSV
Jentic AI Readiness Score
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.
A
ApptiveGrid REST API
- Foundational (C)54/100
47
Foundational Compliance69
Developer Experience & Jentic Compatibility55
AI-Readiness & Agent Experience62
Agent Usability43
Security44
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.2
Show dimension breakdown
47
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: DSignals: 4
87%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
0%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
0%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
69
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: B+Signals: 4
4%
Example Density
How richly the API is illustrated with examples.
97%
Example Validity
Percentage of examples that conform to their schemas.
75%
Response Coverage
Percentage of operations with complete response definitions (success, client error, server error).
100%
Tooling Readiness
Health of API ingestion, bundling, and resolution within Jentic pipelines.
55
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: CSignals: 4
68%
Description Coverage
Coverage of descriptions across API elements.
0%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
91%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
62%
Summary Coverage
Coverage of summaries across operations/tags/info.
62
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: B-Signals: 1
62%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
43
Security
Trust, risk posture, and security compliance.
Grade: D-Signals: 1
42%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
44
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: DSignals: 1
44%
Descriptive Richness
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>Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the ApptiveGrid REST API by hand means reading its HAL hypermedia responses, choosing between HTTP Basic access keys and bearer JWTs, and threading user, space, and grid ids through deeply nested paths. Through Jentic you install once, import ApptiveGrid from the API Directory, store the access key once, and your agent calls it.
Permission scoping
ApptiveGrid puts the space, grid, and entity ids in the URL path, so a rule can pin your agent to one grid and let it read and add entities while leaving space deletion and schema changes out. You choose the operations it may call, so destructive ones like removing a grid or field are not included unless you add them.
Credential isolation
Your ApptiveGrid access key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'add a row to a grid' or 'query a grid', and Jentic returns the matching ApptiveGrid operation with its input schema so the agent calls the right endpoint without reading the reference docs.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using ApptiveGrid REST API through Jentic.
Is there an ApptiveGrid MCP server?
You don't need an MCP server to give your agent the ApptiveGrid REST API. Jentic connects it directly from the API Directory: import it, store your access key once, and your agent can read and write grid records straight away, with no extra server to run and no tool definitions to load into the agent's context.
Can I limit what my agent is allowed to do with the ApptiveGrid REST API?
Yes. Write a rule that allows reading and adding entities in one grid but not removing grids, fields, or spaces, so the agent can maintain records without restructuring your workspace, and every call it makes is logged. Because the grid id is in the URL path, you can bound the agent to a single grid.
What authentication does the ApptiveGrid REST API use?
The ApptiveGrid REST API authenticates with HTTP Basic, using an access key as the username and its secret as the password, or a bearer JWT obtained by signing in, per its OpenAPI spec. Through Jentic the access key is stored encrypted by your own instance and added at call time, so it never appears in the agent's prompt or logs.
Can I add and update records in a grid with the ApptiveGrid REST API?
Yes. The API adds an entity to a grid, updates or partially updates it, reads it back, and queries a grid for matching records, so an agent can keep a table in sync. Reading the grid's schema first lets the agent build a record whose field values are valid.
What are the rate limits for the ApptiveGrid REST API?
The OpenAPI spec does not specify rate limits for the ApptiveGrid REST API. For current limits and fair-use guidance, see the ApptiveGrid documentation at https://docs.apptivegrid.de.
How do I write records into an ApptiveGrid grid through Jentic?
Import the ApptiveGrid REST API from the Jentic API Directory, then have your agent issue a request such as 'add a row to this grid with these values'. Jentic matches the intent to the add-entity operation and returns its input schema so the agent builds the correct request, with your stored access key injected at call time. To run it on your own infrastructure, install Jentic One from its GitHub repo.
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