API and search
The platform over an API
Parsewise is an AI assistant that answers on your company data. The API opens the same platform: answers, search and actions — inside your own apps, bots and services.
Two methods, dialogue and search
The API surface is deliberately small. Behind two calls stands the whole platform: knowledge base, skills, connectors and analytics.
Dialogue

A question and an answer from your data, with dialogue memory, skills and handover to an agent.
Search

Semantic search across the knowledge base: it finds by meaning, not by matching words.
Streaming

First token under a second — the answer types itself into your interface in real time.
More than a model
There is a platform behind the API. Data is uploaded in the admin without code, and the API returns finished answers — with sources, actions and live data.
Knowledge base

Upload documents, your site, products and profiles in the admin — Parsewise indexes them and answers from them.
Skills
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Booking, request, quote — ready actions are called from the dialogue and return the result into your interface.
Connectors

MCP tools and data hooks: the assistant pulls live prices, stock and statuses from your systems.
Admin

Keys, logs, dialogue history, ratings and analytics — all visible without a line of code.
Reliability in numbers
An SLA is a measurable metric. We keep uptime and latency under control and put the numbers on dashboards you have access to.
API uptime
per SLA on the production contour
First token
streamed response
Search p95
semantic /search
Coverage
monitoring and alerting
What the API includes
One key covers the whole contour. From the models and the knowledge base to analytics and quotas — with transparent request statistics every month.
Developer questions
/chat runs a dialogue: it answers from your data, keeps the context, calls skills and can hand over to an agent. /search is semantic search across the knowledge base: it returns relevant fragments by meaning, not by matching words.
Judge Parsewise on your own data
Free plan, no card required. Upload your material, take a key and judge the answer quality on real data.
Test it on your own data
Upload your own documents and catalogue — then ask the assistant the questions people ask you. That is the only test that means anything.