Icarusapi Keatext Keatext Partner API

Name: Keatext Partner API
Brand: Keatext Partner API
Availability: InStock

★ Only Publicly Available OpenAPI DocumentAnalyticsProduct Analyticsbearer20 EndpointsREST

For Agents

Ingest feedback records into Keatext datasets, then query analytics resources for statements, topics, indicators, and per-document summaries.

Install Jentic One Beta

Connect the Keatext Partner API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Keatext Partner 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://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic 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 Keatext Partner API.

Authenticate to the Keatext API via /auth/login

Manage feedback datasets via /datasets and /datasets/{datasetId}

Configure dataset fields via /datasets/{datasetId}/fields and /fields/{fieldKey}

GET STARTED

Start building with Keatext Partner API

Explore with Jentic

View OpenAPI Document

Keatext is a customer and employee feedback analytics platform that turns open-ended survey responses, support tickets, and review text into themes, indicators, and AI-generated recommendations. The Partner API exposes the dataset model used to ingest feedback records, the analytics resources that surface statements, topics, and indicators, and the document-level views used by Keatext's reporting UI. It is suited to teams embedding Keatext analysis into their own BI stack or piping in feedback from CRM, survey, or contact-centre platforms.

Use Cases

Patterns agents use Keatext Partner API for, with concrete tasks.

★ Feedback Ingestion

Stream customer or employee feedback records from a CRM, survey, or ticketing platform into Keatext for AI-driven theme analysis. POST records to /datasets/{datasetId}/records after configuring the relevant fields with /datasets/{datasetId}/fields. Once ingested, the records flow into Keatext's analytics so themes, sentiment, and indicators stay current.

POST a batch of survey responses to /datasets/{datasetId}/records with the comment text, rating, and submission date for each record.

Theme and Topic Reporting

Pull the AI-generated topics, statements, and indicators that Keatext surfaces over a dataset to feed into a BI dashboard or executive summary. The /analytics/topics, /analytics/statements, and /analytics/indicators endpoints return the structured outputs Keatext computes, which makes it possible to embed Keatext analysis natively in tools that already serve the rest of the organisation.

GET /analytics/topics for the customer-feedback dataset and post the top five topics with their statement counts to a weekly summary.

Per-Document Analysis Lookup

Look up Keatext's analysis of an individual document — for example, the themes and statements extracted from a single support ticket. The /analytics/documents endpoint lists analyses across the dataset and /analytics/documents/{documentId} returns the per-document detail, which is useful when surfacing Keatext output inside a CRM or helpdesk record view.

GET /analytics/documents/{documentId} for the linked support ticket and surface the top three statements in the ticket sidebar.

AI Agent Voice-of-Customer Reader

An AI agent uses Jentic to read Keatext analytics and produce voice-of-customer briefings or alerts when new themes appear. The agent searches by intent, loads the analytics topics schema, and calls the API on a schedule, never holding the raw bearer token. Typical agent integration is under one hour because the analytics surface is concentrated under /analytics.

Search Jentic for 'list Keatext analytics topics', load the /analytics/topics schema, fetch the topics for the dataset, and summarise the top five for the weekly report.

Key Endpoints

20 endpoints — keatext is a customer and employee feedback analytics platform that turns open-ended survey responses, support tickets, and review text into themes, indicators, and ai-generated recommendations.

METHOD

PATH

DESCRIPTION

POST

/auth/login

Authenticate against the API

GET

/datasets

List datasets

GET

/datasets/{datasetId}/records

List records on a dataset

GET

/datasets/{datasetId}/fields

List dataset fields

GET

/analytics/statements

List analytics statements

GET

/analytics/topics

List analytics topics

GET

/analytics/indicators

List analytics indicators

GET

/analytics/documents

List per-document analyses

POST

/auth/login

Authenticate against the API

GET

/datasets

List datasets

GET

/datasets/{datasetId}/records

List records on a dataset

GET

/datasets/{datasetId}/fields

List dataset fields

GET

/analytics/statements

List analytics statements

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Keatext session bearer tokens are stored encrypted in the Jentic vault. Agents call Keatext through scoped Jentic credentials and never see the raw token in their context.

Intent-based discovery

Agents search by intent (for example 'list Keatext analytics topics') and Jentic returns the matching operation with its parameter schema, so the agent does not have to read the Keatext Partner API reference.

Time to first call

Direct Keatext integration: 1-3 days for login, dataset modelling, and field configuration. Through Jentic: under one hour — search, load schema, execute.

FAQs

Specific to using Keatext Partner API through Jentic.

What authentication does the Keatext Partner API use?

The Keatext API uses a session token obtained from /auth/login and passed as a bearer token on subsequent calls. Through Jentic, the Keatext credentials are stored in the Jentic vault and the agent calls Keatext via a scoped Jentic credential rather than the raw token.

Can I push feedback records into a Keatext dataset?

Yes. POST records to /datasets/{datasetId}/records after configuring the dataset fields under /datasets/{datasetId}/fields. Records flow into Keatext's analytics pipeline and surface in the topics, statements, and indicators endpoints.

How do I read analytics topics through Jentic?

Search Jentic for 'list Keatext analytics topics', load the /analytics/topics schema, and execute. Install the SDK with pip install jentic and use the async search, load, execute pattern from Python.

Can I look up the analysis of a single document?

Yes. GET /analytics/documents lists per-document analyses across the dataset, and /analytics/documents/{documentId} returns the analysis for one document. Pair the document ID with the original record ID to surface insights inside a CRM or helpdesk view.

What are the rate limits for the Keatext Partner API?

The published spec does not declare per-endpoint rate limits. Keatext applies plan-level account limits documented in the partner portal — start with conservative batching when ingesting records and back off on 429 responses.

How do I configure new fields on an existing dataset?

POST a field definition to /datasets/{datasetId}/fields, then read /datasets/{datasetId}/fields/{fieldKey} to confirm. New fields can be referenced when posting records and will be exposed as filters and dimensions in the analytics endpoints.