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AI financial assistants

Connect your AI application to financial APIs for company research, earnings questions, and market context. Retrieve the information a question needs, carry its source context into the answer, and make the result easier for users to inspect.

API documentationPlans and pricing

Recommended APIs

Start with the endpoints your feature needs. Each API includes documentation and sample requests.

Earnings Call Transcripts
Company commentary and speaker-level context for earnings questions.
SEC Filings
Filing records and source links for company research.
Income Statement
Reported figures for financial questions and comparisons.
Earnings Calendar
Reporting dates and earnings-event context.
Stock Price
Stock quotes with timestamps for price-related questions.

Integration workflow

Ground financial answers in retrieved records with company, reporting-period, and freshness context.

  1. Turn the question into a data request

    Identify the company, period, and kind of evidence required. Give your model narrowly defined tools for supported API calls, then validate the parameters in your application before making a request.

  2. Retrieve focused context

    Fetch transcript passages, reported financials, filing records, or a stock quote as appropriate. Keep speaker names, dates, identifiers, and available source links with the material you pass to the model.

  3. Generate an answer users can inspect

    Present supporting passages or references alongside the answer. Calculate financial comparisons in application code, and make missing data or uncertain period matches explicit instead of asking the model to fill the gaps.

Example workflow

Input
“What did management say about guidance?”
API data
A matching earnings call and attributed passages
Product output
An answer with the company, period, and evidence

Example request

Retrieve context for an earnings question

Select the reporting period your user asked about using the documented parameters. Speaker-level transcript fields can help your application preserve attribution. Transcript access requires a paid plan.

curl --request GET \ 'https://api.api-ninjas.com/v1/earningstranscript?ticker=AAPL' \ --header 'X-Api-Key: YOUR_API_KEY'

Replace YOUR_API_KEY with your API key. See the endpoint documentation for parameters and response fields.

Production considerations

Choose retrieval for each question

A price question needs a quote with an update time; a guidance question needs the correct earnings call. Fetch only the relevant material rather than passing a whole financial dataset into every prompt.

Preserve attribution through your pipeline

Carry company, fiscal period, date, and speaker metadata alongside retrieved passages. Your application constructs citations from this context; an API response alone does not guarantee a supported answer.

Keep credentials and limits in your backend

Call APIs from your server or agent runtime. Keep your API key out of browser code and model-visible text, constrain allowed endpoints, and set a request budget for each user task.

Plans and usage

Estimate usage from the API calls per question and active users, then check endpoint and archive access for your planned workflow.

Use the free plan to evaluate supported endpoints. API and historical-data access vary by plan.

Compare plans

Frequently asked questions

Can I connect an assistant through MCP?
Yes. API Ninjas provides an MCP server for compatible clients. Review the MCP setup and supported tools, or call the REST endpoints from your own agent runtime when you need direct control over retrieval.
Does API Ninjas provide the assistant itself?
API Ninjas supplies the underlying data APIs and an MCP integration. You choose the model and implement your application’s retrieval, answer generation, citations, and user experience.
Does retrieving data eliminate incorrect AI answers?
No. Retrieval provides relevant evidence, but your application still needs to check entity and period matches, validate calculations, and evaluate whether generated answers are supported by the retrieved information.

Related resources

Other use cases