> ## Documentation Index > Fetch the complete documentation index at: https://docs.financialdatasets.rip/llms.txt > Use this file to discover all available pages before exploring further. # Measured against Financial Datasets > The same request sent to both gateways, with latency, cost and the provider route each one took. Every number here was measured on 2026-09-04 by sending the same request to both APIs back to back from the same machine. Our cost comes from the receipts ledger, so it is the amount actually billed, not an estimate. Regenerate with `bench.py` and `gen_comparison_mdx.py`. 25 of 26 here, 25 of 26 on Financial Datasets 2219 ms here, 110 ms theirs \$0.0876 across 21 provider calls $0.0500 at $0.002 per request ## Read the latency honestly Financial Datasets is faster, and by a wide margin on most routes. They serve pre-ingested data from their own store. We compose each response live across upstream providers on every request, so on raw speed they should win, and they do. What that column cannot show is which sources a request touched, or what it cost to serve. That is the trade: you give up latency and get the provenance and the per-call price. If your workload needs sub-200ms reads, theirs is the better product and we would rather say so here than have you discover it in production. Several routes below show single-digit milliseconds and no provider call. Those are either a static catalog compiled into the binary, or a shared cache an earlier request in the same run had already populated. Both are genuinely free. Neither means data is missing. ## Route by route | Route | Ours, cold | Financial Datasets | Our measured cost | Provider route taken | | ---------------------------------------- | ---------- | ------------------ | ----------------- | --------------------------------------------------------------------------------------------------------------------------------------------- | | `/filings` | 2484 ms | 387 ms | \$0.0006 | `defillama/equities/v1/filings` | | `/filings/types` | 3 ms | 152 ms | \$0.0000 | *no new call* | | `/filings/ciks` | 3229 ms | 160 ms | \$0.0009 | `context.dev/web/scrape/html` | | `/financials/income-statements` | 1975 ms | 164 ms | \$0.0006 | `defillama/equities/v1/statements` | | `/financials/balance-sheets` | 15 ms | 125 ms | \$0.0000 | *no new call* | | `/financials/cash-flow-statements` | 8 ms | 108 ms | \$0.0000 | *no new call* | | `/financial-metrics/snapshot` | 2216 ms | 111 ms | \$0.0006 | `defillama/equities/v1/summary` | | `/prices` | 2801 ms | 103 ms | \$0.0006 | `defillama/equities/v1/ohlcv` | | `/prices/snapshot` | 3 ms | 88 ms | \$0.0000 | *no new call* | | `/prices/snapshot/market` | 4535 ms | 229 ms | \$0.0100 | `nasdaq/get_market_movers` | | `/company/facts` | 2342 ms | 80 ms | \$0.0006 | `defillama/equities/v1/companies-list` | | `/earnings` | 21 ms | 113 ms | \$0.0000 | *no new call* | | `/news` | 2222 ms | 108 ms | \$0.0009 | `context.dev/news/search` | | `/insider-trades` | 10546 ms | 106 ms | \$0.0100 | `secform4/search` | | `/insider-ownership` | 7137 ms | 140 ms | \$0.0100 | `secform4/get_company_insider_trading` | | `/beneficial-ownership` | 10598 ms | 108 ms | \$0.0200 | `secform4/get_13g_filings` → `secform4/get_13d_filings` | | `/institutional-holdings` | 6848 ms | 92 ms | \$0.0100 | `secform4/get_institution_holders` | | `/institutional-holdings/investors` | 3 ms | 87 ms | \$0.0000 | *no new call* | | `/macro/interest-rates/snapshot` | 2654 ms | 124 ms | \$0.0036 | `context.dev/web/scrape/markdown` → `context.dev/web/scrape/markdown` → `context.dev/web/scrape/markdown` → `context.dev/web/scrape/markdown` | | `/macro/interest-rates/banks` | 2 ms | 99 ms | \$0.0000 | *no new call* | | `/financials/segments` | 3132 ms | 146 ms | \$0.0090 | `context.dev/web/extract` | | `/kpi/metrics` | 5238 ms | 102 ms | \$0.0096 | `defillama/equities/v1/filings` → `context.dev/web/extract` | | `/ipos` | 1916 ms | 82 ms | \$0.0006 | `defillama/equities/v1/filings` | | `/company/facts/ciks` | 7 ms | 275 ms | \$0.0000 | *no new call* | | `/financials/income-statements/segments` | 6 ms | 83 ms | \$0.0000 | *no new call* | | `/financials/search/screener/filters` | 4 ms | 106 ms | \$0.0000 | *no new call* | ## What the provider route column means Every upstream call is written to a receipts ledger with its provider, endpoint, Monid run id and measured cost. The chain above is read straight from that ledger, so a response's whole path is reconstructable after the fact. `/institutional-holdings` is the clearest example. It resolves the issuer's SEC CIK first, then reads the 13F feed: ``` get_institutional_holdings 1. defillama /equities/v1/filings $0.0006 resolve ticker to CIK 2. secform4 /get_institution_holders $0.0100 the holdings themselves total $0.0106 ``` Financial Datasets publishes neither the sources a request touched nor what it cost them to serve. ## Cost, stated fairly Financial Datasets bills by request count, not per dataset. Build is $200/month with 100,000 requests included and $10 per additional 1,000; Scale is $2,000/month with 1,000,000 included and $5 per additional 1,000. Both work out to \$0.002 per included request. Our costs above are per call and vary by route, from $0.0006 to $0.0100. The expensive routes are the extraction and scrape-backed ones. A workload made mostly of those costs more per call than their included rate, and for high-volume use of them a subscription is genuinely cheaper. Where we win is the floor. Their $200 is due before the first request. The whole run above cost $0.0876. *Generated 2026-09-04 from 26 routes.*