canonical: https://jentic.com/apis/fintechstudios.com/fintechstudios # Fintechstudios FTS Studio API The FTS Studio API searches financial news across many sources and turns it into summaries, insights, and briefs. It runs full-text search, returns an article's full text by ID, and tracks trending news and trending entities, then generates AI summaries, including a streaming option. Saved searches become collections you execute on demand, insight channels produce and store ongoing insights, and chat completions answer questions grounded in the news corpus. Daily briefs, newsletters, a cost estimate per call, and usage reporting round out the surface. ## For AI agents Search financial news, fetch full article text, track trending topics and entities, and generate AI summaries, insights, and chat answers over the news corpus. Manage collections, insight channels, and briefs. ## Scope Does not handle trade execution, market price feeds, or portfolio accounting. Use for searching financial news and generating summaries, insights, and briefs only. ## Capabilities - Search financial news across many sources and get an article's full text by ID - Track trending news and trending entities - Generate AI summaries of articles, with a streaming option - Save searches as collections and execute them on demand - Create insight channels and pull their latest insights - Run chat completions grounded in the news corpus and list available models ## Use cases ### Agent news research through Jentic An AI research agent searches financial news on a company, pulls the full text of the most relevant articles, and generates a summary it can cite. Because collections save a search and execute it on demand, the agent can rerun the same query each morning and summarise only what is new, turning a standing watch into a scripted step. Example prompt: Search news for a company, fetch the full text of the top article, and generate a summary of the results ### Standing insight channels and daily briefs Analysts want ongoing coverage of a theme, not a one-off search. Insight channels produce and store insights over time, and daily briefs collect them into a readable digest, so a tool can stand up a channel for a market topic and surface its latest insight or the newest brief on demand. Example prompt: Create an insight channel for a market theme and fetch its latest insight ### Grounded chat over financial news Instead of a free-floating chatbot, teams want answers tied to real coverage. The chat completions endpoint answers questions grounded in the news corpus and can stream the response, while a cost estimate endpoint prices a call first, so an assistant can answer market questions with sourced context and known cost. Example prompt: Estimate the cost of a chat completion, then run it with a question about a recent market event ## Key endpoints | Method | Path | Description | | --- | --- | --- | | POST | `/search` | Search articles | | GET | `/articles/{id}` | Get a full article by ID | | GET | `/trending` | Get trending news | | POST | `/summaries` | Generate an AI summary | | GET | `/collections` | List collections | | POST | `/collections/{id}/execute` | Execute a saved collection | | POST | `/insight-channels` | Create an insight channel | | POST | `/chat/completions` | Run a chat completion over the news corpus | ## Key resources - **Search** — Full-text search across financial news and article retrieval by ID - **Summaries** — Generate AI summaries of articles, with streaming - **Collections** — Save, execute, and manage reusable searches - **Insight channels** — Create channels and read their generated insights - **Chat** — Run chat completions grounded in the news corpus and list models ## 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:** 45 / 100 - **Maturity:** Foundational - **Dimensions:** - Foundational Compliance: 79 / 100 - Developer Experience & Jentic Compatibility: 62 / 100 - AI-Readiness & Agent Experience: 20 / 100 - Agent Usability: 94 / 100 - Security: 55 / 100 - AI Discoverability: 74 / 100 - **View full report:** https://jentic.com/apis/fintechstudios.com/fintechstudios/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 ``` ## Why Jentic - **Setup:** Wiring the FTS Studio API by hand means choosing between the X-API-Key header and a Bearer token, estimating call cost, and handling the streaming summary and chat responses yourself. Through Jentic you install once, import it from the API Directory, store the credential once, and your agent calls it. - **Permission scoping:** You choose which operations your agent may call, so it can search, summarize, and read insights while collection and insight-channel deletion stays out unless you add it. Most of the surface is read and generate operations, so a research agent needs nothing destructive. - **Credential handling:** Your FTS Studio credential 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 'search financial news' or 'summarize articles on a topic', and Jentic returns the matching FTS Studio operation with its input schema so the agent calls the right endpoint without browsing the reference docs. ## Related APIs - **Perplexity** — Perplexity answers questions with cited sources from the live web, an alternative to grounded chat over FinTech Studios' news corpus. - **mediastack** — mediastack delivers raw news articles that can feed summaries alongside FinTech Studios coverage. - **Financial Datasets** — Financial Datasets provides market and fundamentals data that pairs with news-driven insights. ## FAQ ### What authentication does the FTS Studio API use? It accepts an API key sent as the X-API-Key header or a Bearer token in the Authorization header, per its OpenAPI spec. The same credential resolves to its owner through the account endpoints, and it covers search, summaries, and chat alike. ### Can I get AI summaries of financial news with the FTS Studio API? Yes. After searching or selecting articles you can generate an AI summary, and a streaming variant returns the summary as it is produced. For deeper questions the chat completions endpoint answers grounded in the news corpus, and a cost estimate endpoint prices a call before you run it. ### What are the rate limits for the FTS Studio API? The OpenAPI spec does not state a fixed request rate limit, but it exposes an estimate endpoint that prices a call and a usage endpoint that reports consumption. Use those to pace work, and check the FinTech Studios documentation for the current limits on your plan. ### Is there a FinTech Studios MCP server? You don't need an MCP server to give your agent the FTS Studio API. Jentic connects it directly from the API Directory: import it, store your credential once, and your agent calls the search, summary, insight, and chat operations on demand. ### Can I limit what my agent is allowed to do with the FTS Studio API? Yes. Write a rule that allows the search, summary, and insight-read operations your agent needs, and leave collection and insight-channel deletion off the list, so a research agent can query and summarise without removing saved work. Every call it makes is recorded in your Jentic One audit log. ### How do I search financial news with the FTS Studio API through Jentic? Search Jentic for 'search financial news', add the FTS Studio API from the directory, and store your API key once; your agent then runs a search, fetches full article text, and generates a summary. To run it on your own infrastructure, install Jentic One from its GitHub repo.