Financial data API comparison
Arkolith vs Financial Datasets, Financial Modeling Prep, and Octagon. An honest read on which tool fits which job, so your agent points at the right ground truth.
Financial Datasets, FMP, and Octagon are broad. They cover prices, fundamentals, crypto, and, in Octagon's case, an AI research layer over private and public markets. If your agent needs wide market coverage, they are strong choices. Arkolith is deliberately the other shape: deep on the SEC ownership cluster (13F holdings, Form 4 insiders, and Congressional trades), with per-datapoint provenance, a point-in-time archive, resolved amendment chains, and a cross-source confluence signal you can call as one tool. It is MCP-native and first-party, and it never runs inference, so every call is a fast, sourced lookup your own agent reasons over.
| Job | Best fit | Why |
|---|---|---|
| AI agent needs a sourced answer about ownership | Arkolith | MCP plus REST, filing provenance, resolved entities, and public pages for human verification. |
| One vendor for prices, fundamentals, crypto, and broad market data | Financial Datasets or FMP | They are broader feeds. Arkolith is intentionally deep on EDGAR ownership and insiders. |
| AI research answer with generated narrative | Octagon or a research agent | Arkolith returns sourced data rows and does not run inference inside the data bill. |
| Raw legal source review | SEC EDGAR direct | Use the primary filing document when the task is legal review or complete document inspection. |
Use these narrower comparisons when the question is not broad financial data, but a specific SEC-derived dataset and how an agent should cite it.
Compiled from public documentation, July 2026. Products change, so verify current specifics with each vendor.
| Capability | Arkolith | Financial Datasets | FMP | Octagon |
|---|---|---|---|---|
| First-party MCP server | YesNative, metered per call | YesOfficial MCP | PartialCommunity wrappers | YesOfficial MCP |
| Per-datapoint provenance (field to source + timestamp) | YesEvery field traced | PartialFiling / source level | PartialSource links | PartialSource-backed answers |
| Point-in-time / as-of (as-known-on) | YesBitemporal archive | PartialReport-period filters | PartialFiling dates | NoResearch answers |
| Amendment / supersession resolved | Yes13F & Form 4 chains | NoLatest filing | NoLatest filing | NoNot documented |
| Cross-source confluence signal (13F x insider x Congress) | YesShipped as a tool | NoRaw feeds only | NoRaw feeds only | PartialVia research agent |
| Congress / STOCK Act trades | YesFree tool (compliance-gated) | NoNot documented | YesSenate + House | NoNot documented |
| Runs its own inference (you pay token cost) | NoPure data lookup | NoData API | NoData API | YesAI research credits |
| Broad market data (prices, crypto, fundamentals, private / VC) | NoDeep on ownership, not broad | YesBroad coverage | YesBroad coverage | YesBroad + research |
| Pricing model | PartialPrepaid credits, $5 min | Partial$200 / $2,000 + PAYG | PartialTiered API plans | PartialResearch credits |
Every field is traced to its source filing and timestamp, so an agent can cite it and a human can verify it.
Query a book as it was known on a past date. Backtests and audits stop leaking future information.
A restated 13F or corrected Form 4 supersedes the original, so positions are not double-counted.
Crowding across 13F, insider, and Congressional activity, composed into one tool call.
Connect the MCP server to your agent, or hit REST directly. Same data, same provenance, metered by prepaid credits.
# REST: latest resolved 13F holdings for a filer, with provenance
curl -H "Authorization: Bearer $ARKOLITH_KEY" \
"https://arkolith.com/api/v1/funds/1067983/holdings"
# MCP: connect once, then your agent calls tools like
# fund.holdings, insider.recent, signal.confluence, provenance.get
# https://arkolith.com/api/mcpIt depends on what the agent needs. For broad market data (prices, fundamentals, crypto, private companies) Financial Datasets, FMP, and Octagon cover more surface. For deep, verifiable SEC ownership data (13F holdings, Form 4 insiders, Congressional trades) with per-datapoint provenance, point-in-time access, and cross-source signals, Arkolith is purpose-built. Many teams use a broad API for prices and Arkolith for ownership and signals.
Three things. Every datapoint carries provenance to its source filing and timestamp, so an agent can cite it and a human can verify it. The archive is point-in-time, so you can ask what a book looked like as it was known on a past date, not just today. And amendment chains are resolved, so a restated 13F or a corrected Form 4 supersedes the original instead of double-counting. Arkolith also ships a confluence signal that crowds 13F, insider, and Congressional activity into one tool.
No. Octagon is a research-answer layer that runs its own AI agents and bills research credits. Arkolith never runs inference. Your agent (Claude, Codex, or another) calls Arkolith as a tool and does its own reasoning, so you never pay a model token cost inside our pricing and every call is a fast, sourced data lookup.
Yes. Arkolith exposes a first-party MCP server and a REST API over the same data, with per-key auth and metered credits. Connect it to Claude Code or any MCP client, or call REST directly. Financial Datasets and Octagon also ship official MCP servers; FMP is reachable through community MCP wrappers.
If your agent mainly needs real-time prices, crypto, broad fundamentals, or private-company and VC data, a broad provider like Financial Datasets, FMP, or Octagon fits better. Arkolith is deliberately deep rather than broad: the EDGAR ownership cluster (13F, Form 4, Congress) with the cross-source join as the moat.
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