Described in their service offerings for investors.
API Access
Est. Price
~$25,000/yr est.
Update Frequency
daily
Pricing Tiers
1
Regions
1
Quality SignalsB
Freshness
Recently enriched
Complete
81%
API
API Available
Product Overview
Fundamental Data Platform$$
Offering: Automated extraction and standardization of financial data from company filings and earnings transcripts into model-ready datasets.
Best for: Fundamental equity analysts and quant researchers building financial models and earnings forecasts.
Benefits
- High-fidelity data extraction from unstructured filings
- Seamless integration with Excel and financial modeling workflows
- Direct LLM connectivity via Model Context Protocol
- Significant reduction in manual data entry for analysts
Drawbacks
⚠ Limited coverage of non-public or private market data · ⚠ Less suited for high-frequency trading compared to specialized market data feedsProduct Intelligence
Value Score
42
quality per $
Price Position
P100
premium
Coverage
70
geo × freq × depth
Try-ability
15
ease of trial
Market concentration: 100% (concentrated — few vendors)
Data Depth & Coverage
Data Depth
65
composite
Breadth
32
asset coverage
Temporal
48
history depth
Transparency
80
lineage & sourcing
Research-Ready
100
backtest fitness
Point-in-Time
Yes
Granularity
Quarterly
Data Lineage
Full
Backtest-Ready
Yes
History from: 2016
Type: Research Platform
Vertical: Equity Research
License: Enterprise-Wide
MNPI Risk: Low
Asset Classes
Equities
Universe Composition
Listed
Market Cap Coverage
All
Primary Data Sources
SEC EDGARCompany FilingsEarnings Transcripts
Product Details
Use Cases
backtestingfinancial modelingFundamental analysisquantitative researchscreening
Categories
Earnings DataFinancial DataFundamental Data
Coverage
GLOBAL
Delivery
Python SDKREST APIWeb UI Download
Data Sources
corporate filingsgovernment filings
Pricing Tiers
Vedex estimate
~$25,000/yr est.
SUBSCRIPTIONMEDIUM
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Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$25,000/yr est.
Request a sample directly from Daloopa.
Web Authority
High Authority18 mentions·5 platforms
Academic Papers
11 × 8 pts+80
Reddit
3 × 3 pts+9
Blogs & Newsletters
2 × 2 pts+4
LinkedIn
1 × 2 pts+2
linkedin company
1 × 1 pts+1
Evidence5 sources
Academic Papers
FinLoRA: Benchmarking LoRA Methods for Fine-Tuning ...
by D Wang · 2025 · Cited by 13 — Abstract page for arXiv paper 2505.19819: FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets.
Academic Papers
Agentar-DeepFinance-300K: A Large-Scale Financial ...
Existing public financial datasets [2, 3, 14] provide structured knowledge from standardized materials (e.g., examinations), restricting their ...
Academic Papers
FinMME: Benchmark Dataset for Financial Multi-Modal ...
3 FinMME Dataset: High-Quality Financial Multi-Modal Dataset. Report ... (2019) , financial datasets such as ConvFinQA Chen et al. (2022) ...
Data Dictionary
Expected fields and columns in this data product
About Financial Datasets
Financial Datasets is a earnings data data product offered by Daloopa, available on discovery. Data is updated daily. API access is available for programmatic integration. Vedex estimates pricing at roughly $25,000/yr (an estimate, not a vendor-published price).
Described in their service offerings for investors.
About Daloopa
Daloopa is a data provider & platform vendor based in US. Daloopa is a financial data platform that automates the extraction and standardization of financial data from company filings, earnings transcripts, and supplemental materials to provide investors wit...
Related Data Categories
Earnings DataFinancial DataFundamental Data