canonical: https://jentic.com/apis/symanto.net/symanto

# Symanto Psycholinguistic Text Analytics

We aim to provide the deepest understanding of people through psychology & AI. The API exposes 8 endpoints secured with apiKey authentication.

## For AI agents

Programmatically communication & tonality, emotion analysis. Covers 8 operations with apiKey authentication.

## Scope

Does not handle payments, communications, or crm - use for analytics only.

## Capabilities

- Communication & Tonality
- Emotion Analysis
- Personality Traits
- Sentiment Analysis
- Extracts topics and sentiments and relates them.
- Predicts whether a phrase is a promoter, detractor or indifferent

## Use cases

### Analytics Operations

Use the Psycholinguistic Text Analytics to perform analytics operations programmatically. The API provides 8 endpoints covering core functionality including communication & tonality, emotion analysis, emotion analysis.

Example prompt: Call POST /communication to communication & tonality

### Automated Brand Recommendation Management

Automate brand recommendation operations by combining multiple Psycholinguistic Text Analytics endpoints. Agents can emotion analysis and then emotion analysis in a single workflow.

Example prompt: Call POST /emotion to emotion analysis, then verify the result

### AI Agent Integration via Jentic

AI agents discover and call Psycholinguistic Text Analytics endpoints through Jentic without managing credentials directly. An agent searches for the required operation by intent, receives the matching endpoint schema, and executes the call with Jentic-managed authentication. This eliminates the need to read API documentation or handle apiKey tokens manually.

Example prompt: Search Jentic for 'communication & tonality', load the operation schema, and execute with Jentic-managed credentials

## Key endpoints

| Method | Path | Description |
| --- | --- | --- |
| POST | `/communication` | Communication & Tonality |
| POST | `/emotion` | Emotion Analysis |
| POST | `/ekman-emotion` | Emotion Analysis |
| POST | `/personality` | Personality Traits |
| POST | `/sentiment` | Sentiment Analysis |
| POST | `/topic-sentiment` | Extracts topics and sentiments and relates them. |
| POST | `/brand-recommendation` | Predicts whether a phrase is a promoter, detractor or indifferent |
| POST | `/language-detection` | Language Detection |

## Key resources

- **Brand Recommendation** — Operations for brand recommendation
- **Communication** — Operations for communication
- **Ekman Emotion** — Operations for ekman emotion
- **Emotion** — Operations for emotion
- **Language Detection** — Operations for language detection

## AI readiness

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.

- **Score:** 53 / 100
- **Maturity:** Foundational
- **Dimensions:**
  - Foundational Compliance: 72 / 100
  - Developer Experience & Jentic Compatibility: 62 / 100
  - AI-Readiness & Agent Experience: 32 / 100
  - Agent Usability: 94 / 100
  - Security: 50 / 100
  - AI Discoverability: 58 / 100
- **View full report:** https://jentic.com/apis/symanto.net/symanto/scorecard
- **How the score is calculated:** https://docs.jentic.com/reference/api-readiness-framework/overview/
- **More about the dimensions:** https://docs.jentic.com/reference/api-readiness-framework/specification/#dimensional-model-overview

### Score it yourself

Every API in the directory is allowlisted, so you can re-score it with no key required.

- **Score your own API:** https://jentic.com/scorecard.md
- **Scoring CLI agent skill:** https://github.com/jentic/jentic-api-scorecard/blob/main/skills/jentic-api-scorecard/SKILL.md

```sh
npx @jentic/api-scorecard-cli score <openapi-url>
```

## Why Jentic

- **Setup:** Wiring Psycholinguistic Text Analytics by hand means sending the x-api-key header to the api.symanto.net host and shaping the POST body for each analysis type yourself. Through Jentic you install once, import Symanto from the API Directory, store the API key once, and your agent calls it.
- **Permission scoping:** Symanto takes the text to analyze in the request body rather than a resource path, so scope the agent to the operations it needs, such as sentiment or emotion analysis. You choose that allowed set, so an analysis type you do not add, like personality or brand recommendation, stays out of reach.
- **Credential handling:** Your Symanto API 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.
- **Discovery method:** Agents search Jentic by intent such as 'detect emotion in text' or 'analyze sentiment', and Jentic returns the matching Symanto operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

## Related APIs

- **Mixpanel** — Alternative analytics API
- **Amplitude** — Alternative analytics API
- **Segment** — Complementary analytics API
- **Pendo** — Complementary analytics API

## FAQ

### What authentication does the Psycholinguistic Text Analytics use?

The Psycholinguistic Text Analytics uses an API key passed in the `x-api-key` header. Through Jentic, these credentials are stored encrypted in your Jentic One instance and injected at execution time, so raw secrets never enter the agent context.

### Can I communication & tonality with the Psycholinguistic Text Analytics?

Yes. Use the POST /communication endpoint. The API returns structured JSON responses that agents can parse and act on directly.

### What are the rate limits for the Psycholinguistic Text Analytics?

Rate limits are not specified in the OpenAPI spec. Check the vendor documentation for current limits. Through Jentic, rate limiting is handled automatically with retry logic built into the execution layer.

### How do I communication & tonality through Jentic?

Install the Jentic SDK with pip install jentic, authenticate through Jentic One, the self-hosted execution layer, then search for 'communication & tonality'. Jentic returns the matching Psycholinguistic Text Analytics operation with its input schema. Load the schema and execute the call - credentials are injected automatically.

### How many endpoints does the Psycholinguistic Text Analytics have?

The Psycholinguistic Text Analytics exposes 8 endpoints covering brand recommendation, communication, ekman emotion operations.

### Can I limit what my agent is allowed to do with the Psycholinguistic Text Analytics?

Yes. Because Jentic One is self-hosted by you, your own rules decide which Symanto operations your agent may call and which stored credentials it may use. Since Symanto passes the text to analyze in the request body rather than a resource path, you scope the agent to just the analysis operations it needs, such as POST /sentiment or POST /emotion. Any operation you do not add, like POST /personality or POST /brand-recommendation, stays out of reach.
