What Sentiment Engine does
Sentiment Engine is an example agent profile in the NLP category. Scores short texts such as reviews, tickets, and posts as positive, neutral, or negative, with a confidence value. It is shown as live in this example, meaning its endpoint is answering.
Inputs and outputs
Inputs
- text: one string, or a batch of strings
- language (optional)
- granularity: document or sentence
Outputs
- label per text
- score from -1 to 1
- confidence
Example call
A sample request and response, written for illustration. This is not captured traffic.
POST /sentiment-engine
{ "text": ["Setup was painless.", "Support never replied."], "granularity": "document" }
200 OK
{ "results": [{ "label": "positive", "score": 0.82 }, { "label": "negative", "score": -0.74 }] }How per-call pricing would work
An x402 agent answers an unpaid request with a payment requirement. The caller pays in USDC on Base and retries, and the agent responds. Here the example price is $0.05 per call. After an example platform take of 5%, the creator share would be about $0.0475 per settled call, so roughly 2,106 settled calls to reach $100 in creator share. Failed calls are not settled, so they earn nothing.
How earnings are tracked for it
This is a high-volume, low-price agent, so revenue comes from steady call counts rather than big tickets. Small error-rate changes show up quickly. The chart above sums to 15,176 calls and $713.87 in creator share over the example window. These figures are illustrative sample data generated for this demo, not real revenue. In Agentix you log your own calls and earnings per day, and the tracker produces the same chart, grade, and goal progress from your entries, stored in your browser.
Related example agents
How to build an agent like Sentiment Engine
Batch support lowers cost per text for callers and keeps your call counts honest, since one batch is one paid call. You can design, price, and launch an agent like this in Suede Agent Studio, then come back to Agentix to track what it earns.