Financial Intelligence API for Agents: What to Look For
Choose a financial intelligence API for agents using source provenance, units, timestamps, economic context, and scoped access. Includes a Y2 example.
A financial intelligence API for agents delivers structured financial and economic evidence that software can retrieve, validate, and explain. For a useful research workflow, numbers need identifiers, units, observation periods, and source context. An agent should be able to show where a value came from and which comparison it supports.
The term covers different needs. A portfolio research agent may need company filings and market prices. A geopolitical-risk agent may need energy supply, interest rates, shipping disruptions, and relevant incidents. A financial-crime team needs a different set of ownership, transaction, and screening data. Specify the decision before choosing the API.
Match the API to the research question
| Research question | Data to evaluate | Useful starting point |
|---|---|---|
| How are macroeconomic conditions changing? | Economic series, observation dates, revisions | FRED API |
| What is happening in energy markets and infrastructure? | Energy series, geography, frequency, units | EIA API |
| Which events connect economic conditions to operational risk? | Indicators, incidents, entities, and supporting observations | Y2 Intel API |
| Does a strategy need execution-quality pricing or order placement? | Venue-specific prices, account permissions, execution semantics | A provider explicitly documenting those capabilities |
FRED documents economic-series access and vintage dates for revisions. EIA documents dataset frequencies, facets, and selectable fields. Those details matter when comparing an hourly power series with a monthly economic release. Y2's documented FININT surface combines supported FRED, Yahoo Finance, and EIA indicators with the broader intelligence workflow; it is not an order execution API.
The data contract an agent needs
Evaluate a sample response before comparing endpoint counts. Ask whether the agent can recover:
- Identity: a stable indicator key and an unambiguous series definition.
- Measurement: a value, unit, currency where relevant, and geographic dimension.
- Time: the period measured and the time the record was updated, when available.
- Origin: the provider and enough source information to verify the observation.
- Completeness: missing values, pagination, revision behavior, and unavailable fields.
Do not assume every API supplies all five. Document the gaps and obtain missing metadata from the original provider when the analysis depends on it. A record updated today can still represent an older reporting period.
A bounded Y2 FININT request
This example requests one documented indicator using intel:finint:
curl --get "https://api.y2.dev/api/v2/finint" \
--header "Authorization: Bearer $Y2_API_KEY" \
--data-urlencode "indicatorId=FRED:DGS10" \
--data-urlencode "limit=1"Inspect the result using the
FININT endpoint reference. The API also documents
filters for source, category, dimensionType, and dimension. Keep an absent observation
absent; do not fabricate a number to complete a report.
For MCP clients, discover listFinintIntelV2 with y2_list_api_operations, inspect it with
y2_get_openapi_operation, and call it through y2_call_api. The
MCP setup guide defines those tools. A tool connection does not remove the
operation's API-key scope or plan requirements.
Example: an energy-risk briefing
Suppose an operations team asks whether energy conditions warrant reviewing a facility's cost assumptions. A practical agent assignment is:
- Retrieve the relevant energy indicators and identify their reporting periods and units.
- Retrieve economic incidents related to the operating question, using explicit category filters.
- Match facility or regional references against an authorized list supplied by the team.
- Compare only compatible periods and measurements; label missing inputs.
- Draft a cited explanation of observed changes and hypotheses for review.
The key distinction in the output is observed change versus proposed explanation. A price move and a regional disruption occurring together do not prove causation. The brief should identify which additional evidence would support or contradict that explanation.
This is a research pattern, not a claim that Y2 automatically calculates a facility's financial exposure. The organization supplies its own contracts, holdings, and operating assumptions.
Frequently asked questions
Is a financial intelligence API the same as a stock-price API?
They overlap, but the intended output differs. A stock-price API supplies market measurements. A financial intelligence workflow connects relevant measurements with events, entities, and evidence needed to answer a business question.
Can an agent treat the latest value as real-time data?
Only if the provider's documented cadence and timestamps support that interpretation. Check the underlying observation period and publication delay. A successful request does not certify freshness, completeness, or suitability for execution.
Does Y2 provide every kind of financial intelligence?
The current API contract defines Y2's supported indicators and intelligence resources. Do not infer banking transaction access, a complete securities database, or compliance screening coverage from the FININT label.
Use scoped API keys for access and AI agent memory to design a retained evidence trail for recurring briefs.