FilingFirehose vs FutureSearch: Which is Better in 2026?
A comprehensive comparison of FilingFirehose and FutureSearch covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose FilingFirehose if:
- →You want more affordable paid plans (from $9/mo)
- →You need body-text classification of every 8-k, independent of filer item coding or s-3 / 424b5 shelf takedown and schedule 13d/13g coverage
Choose FutureSearch if:
- →You need a broader feature set (6 features vs 5)
- →You need six question shapes including conditional and decision forecasts or ranked #1 of 197 bots on the metaculus futureeval live tournament
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FilingFirehose vs FutureSearch: At a Glance
Pricing Comparison: FilingFirehose vs FutureSearch
Understanding the pricing differences between FilingFirehose and FutureSearch is crucial for making the right choice. Here's how their plans compare side by side.
FilingFirehose Pricing
FutureSearch Pricing
💡 Pricing takeaway: Both FilingFirehose and FutureSearch offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from FilingFirehose and FutureSearch stacks up.
What Makes Each Tool Unique
🔵 Unique to FilingFirehose
Features available in FilingFirehose but not in FutureSearch:
- ✓Body-text classification of every 8-K, independent of filer item coding
- ✓S-3 / 424B5 shelf takedown and Schedule 13D/13G coverage
- ✓JSON API with full archive access and webhooks
- ✓One-time AI forensic reports on any US ticker with source citations
- ✓Refund guarantee when a ticker has no data
🟣 Unique to FutureSearch
Features available in FutureSearch but not in FilingFirehose:
- ✓Six question shapes including conditional and decision forecasts
- ✓Ranked #1 of 197 bots on the Metaculus FutureEval live tournament
- ✓Live real-money positions on Kalshi, Polymarket and the S&P 500, published with losses
- ✓Multi-agent runs and research teams for batch forecasting
- ✓API access on every tier, including free
- ✓Credit that does not expire monthly like a plan allowance
Use Case Recommendations
Best for: FilingFirehose
FilingFirehose is a JSON API over SEC EDGAR built around one specific insight: filers routinely bury material events under 8-K Item 8.01 ('Other Events'), where item-code-based monitoring misses them. The company published an analysis of 4,251 filings finding that roughly 7% of Item 8.01 filings contain misclassified material events, and the product's core work is body-text classification of every 8-K so cyber incidents, officer departures and material agreements surface regardless of how the filer coded them. Coverage extends to S-3 and 424B5 shelf takedowns and Schedule 13D/13G filings, which together make it a dilution- and ownership-tracking tool as much as a news feed. Alongside the API sit consumer-priced one-time products: a $9 Mini-Report giving a three-section AI summary of a ticker delivered in about five minutes, and a $49 Full Report running five sections of AI analysis with twelve months of context, real-data citations on every claim and a full refund if the ticker has no data. That refund promise is a meaningful signal in a category where thin coverage is usually discovered after payment. The product ladder is unusually wide for an indie tool — eight products off one pipeline, aimed at retail traders, small funds, lawyers, security teams and developers — and there is a founder lifetime deal that collapses the whole stack into one payment.
Ideal use cases:
- •Teams or individuals who need body-text classification of every 8-k, independent of filer item coding
- •Teams or individuals who need s-3 / 424b5 shelf takedown and schedule 13d/13g coverage
- •Teams or individuals who need json api with full archive access and webhooks
- •Teams or individuals who need one-time ai forensic reports on any us ticker with source citations
- •Anyone focused on sec-filings workflows
- •Anyone focused on api workflows
Best for: FutureSearch
FutureSearch is a forecasting engine that answers questions about the future with a probability and the research behind it, rather than with a paragraph of hedged prose. You pose a question in one of six shapes — probability, numeric, date, categorical, conditional, or decision — and a team of agents searches, reads and reasons its way to an estimate you can inspect. The differentiator the company leans on is a public track record rather than a benchmark table it wrote itself: it ranks first of 197 bots on the Metaculus FutureEval live tournament, scored by Metaculus on real unresolved questions, and twentieth of 335 on the Forecasting Research Institute's contamination-free ForecastBench. It also trades real money on Kalshi, Polymarket and the S&P 500 and publishes every position with its research, losers included, which is an unusually falsifiable claim for an AI product. On its own 1,907-question pastcasting benchmark it scores 0.122 against 0.130 for the best frontier model. Beyond single forecasts there is a toolkit around them — multi-agent runs and research teams for batch work, plus an agent map for cheaper row-level passes — and the whole thing is available over an API so another agent can call it. Pricing is per question rather than per seat, which fits the intermittent way forecasting actually gets used: you pay for the questions you ask and the subscription mainly buys concurrency and a usage discount.
Ideal use cases:
- •Teams or individuals who need six question shapes including conditional and decision forecasts
- •Teams or individuals who need ranked #1 of 197 bots on the metaculus futureeval live tournament
- •Teams or individuals who need live real-money positions on kalshi, polymarket and the s&p 500, published with losses
- •Teams or individuals who need multi-agent runs and research teams for batch forecasting
- •Anyone focused on forecasting workflows
- •Anyone focused on research workflows
📊 Other Data & Analytics Tools to Consider
FilingFirehose and FutureSearch aren't the only options. Here are other popular tools in the same space:
Databricks AI
Enterprise AI and data lakehouse platform
Akkio
No-code predictive AI for business analysts
Hex
Data workspace with AI analysis and apps
MindsDB
AI layer for databases with SQL ML
Obviously AI
No-code ML platform for predictions
Julius AI
Chat with your data for instant analysis
Is one of these your tool?
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Frequently Asked Questions
Is FilingFirehose better than FutureSearch?
It depends on your needs. FilingFirehose offers 5 key features including Body-text classification of every 8-K, independent of filer item coding and S-3 / 424B5 shelf takedown and Schedule 13D/13G coverage, while FutureSearch provides 6 features including Six question shapes including conditional and decision forecasts and Ranked #1 of 197 bots on the Metaculus FutureEval live tournament. FilingFirehose uses a paid model with a free tier, while FutureSearch is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is FilingFirehose cheaper than FutureSearch?
FilingFirehose is cheaper, starting at $9/month compared to FutureSearch's $20/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use FilingFirehose and FutureSearch together?
Yes, many users combine FilingFirehose and FutureSearch in their workflow. FilingFirehose excels at body-text classification of every 8-k, independent of filer item coding, while FutureSearch shines with six question shapes including conditional and decision forecasts. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between FilingFirehose and FutureSearch?
While both are data & analytics tools, FilingFirehose emphasizes body-text classification of every 8-k, independent of filer item coding, whereas FutureSearch is known for six question shapes including conditional and decision forecasts. The best choice depends on your specific workflow and feature priorities.
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