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ValueinValuein
For engineers building fintech apps, tools & AI agents

Stop writing the EDGAR parser. Real data in 15 seconds.

Every fintech dev has written and thrown away their own EDGAR parser at least once. Skip it. pip install, pull standardized Parquet with no credit card, and drop a typed MCP tool into your AI agent — no scraping, no rate-limit gymnastics.

  • pip install → real data in under 15 seconds, no API key on the sample tier.
  • One normalized API across every filer — never map a raw XBRL tag again.
  • 57 typed, tier-gated, deterministic MCP tools for your AI agent.
  • Open Parquet + open-source SDK — your data is never trapped in a proprietary blob.

Built for

Developers

  • Point-in-time accurate
  • Survivorship-bias-free
  • Every number cited to its filing

Works where you do

Python SDKMCP ServerBulk Data API
Recommended plan
Sample → Pro

Point-in-time accurate · Survivorship-bias-free · Every number cited to its filing

15s
to first DataFrame
57
typed MCP tools
11,966 → 286
XBRL tags normalized

The pain points we remove

Technical buyers don't want a pitch — they want the thing they spent last weekend fighting to be already solved. Here's what we take off your plate.

1

Everyone rewrites the EDGAR parser

XBRL is technically public and free, but unusable raw. Devs burn 80% of their time wrestling EDGAR instead of building the actual product.

2

One concept, six tags

Revenue alone is us-gaap:Revenues, SalesRevenueNet, and RevenueFromContractWithCustomerExcludingAssessedTax — and different filers pick differently.

3

EDGAR's rate limits make apps fragile

10 req/sec per IP, hard 429s, ~10-minute IP blocks, a mandatory User-Agent — you have to build a whole caching/queue layer before you ship a feature.

4

Commercial APIs are pricey, throttled, and fragile

Free tiers are too thin to develop on, paid jumps are steep — and IEX Cloud shutting down took thousands of apps dark overnight. Vendor durability is now a real risk.

5

AI agents need a real data tool

Building an agent means giving it typed, deterministic, tier-gated financial-data tools — not asking it to scrape HTML and hope.

Built around your actual cadence

From the daily grind to the month-end crunch — Valuein fits the rhythm of the work, not the other way around.

Every day
  • Build features against the data API
  • Debug auth, rate-limit, and normalization edge cases
  • Handle the one filer whose tags don't match
Every week
  • Add coverage — new tickers and statements
  • Write retry/backoff and caching glue
  • Reconcile data discrepancies users report
Month / quarter-end
  • Watch the new filing wave for parser breakage
  • Cost review as API usage scales
  • Re-evaluate vendor risk after any provider outage

What you can do with Valuein

Each job you need done, mapped to the exact capability that delivers it.

pip install → real data, no credit card

The sample tier streams real Parquet with no API key, so you can evaluate before you commit.

Python SDK · sample tier

One normalized API across all filers

Canonical concepts mean one Revenue, one EBIT — never map a raw XBRL tag again.

Standardized concepts

A drop-in MCP tool for your agent

57 typed tools in Claude/ChatGPT/Cursor over Streamable-HTTP, behind one Bearer token.

MCP server

Skip the rate-limit/caching layer

The edge-gateway streams Parquet with tier-based limits — no EDGAR throttling to engineer around.

Bulk Data API · edge-gateway

A vendor that won't disappear

Open Parquet and an open-source SDK on PyPI — your data and pipeline are portable, not locked in.

Open formats

Stop writing the EDGAR parser. pip install valuein-sdk → real Parquet in 15 seconds, no credit card.

One canonical Revenue across 19,000+ filers. We mapped the 11,966 raw XBRL tags so you don't have to.

57 financial-data tools your AI agent can call over MCP — typed, gated, deterministic. Not HTML scraping.

Frequently asked

Can I really try it with no credit card?

Yes. pip install valuein-sdk and the sample tier (S&P 500, last 5 years) streams real Parquet with no signup, no email, no API key. Upgrade to Pro for the full 19,000+ universe and 15-year history.

How do I give my AI agent access to the data?

Add https://mcp.valuein.biz/mcp as a custom MCP server in Claude Desktop, Cursor, Codex, or any MCP client. It exposes 57 typed, tier-gated tools behind a Bearer token — the same token that unlocks the SDK.

Will I get rate-limited like I do on EDGAR directly?

No. The edge-gateway enforces generous, tier-based limits (e.g. 120 req/min on Pro) and streams pre-built Parquet, so you don't build a caching/backoff layer just to stay under SEC's 10 req/sec cap.

What happens to my integration if Valuein changes the schema?

The Parquet schema is versioned and manifest-driven — the SDK and MCP read it at runtime, and breaking changes ship behind a major version bump. The data is open Parquet, so you're never locked into a proprietary blob.

Stop writing the EDGAR parser. pip install valuein-sdk → real Parquet in 15 seconds, no credit card.

105M+ standardized SEC facts across 19,000+ companies, 1993–present. Free to start — no credit card.