AutonoMath for VC / M&A advisors

By corporate number, pull 5 years of enforcement, 10 years of adoption history, and qualified-invoice registration in a single cross-source query. Drop into your DD pipeline.

Submit the corporate number of an investment or acquisition target and pull from enforcement (1,185), case_studies (2,286), invoice_registrants (13,801), and programs (13,578) in one call. ¥3/req fully metered, no scale limit, Stripe metered billing reconciled monthly.

Why AutonoMath

Four datasets in one query, by corporate number

enforcement + cases + invoice + programs

Submit the 13-digit NTA-issued corporate number and get enforcement, adoption history, qualified-invoice registration, and related programs in a unified schema. Integrate via REST or MCP into in-house DD tools.

Primary sources only, source URL required

No aggregators

Enforcement comes from each supervising authority's disclosures; adoptions from METI, MAFF, the SME Agency, and local-government announcements; invoice registrants from NTA under PDL v1.0. No aggregators (no second-hand sources). Each row carries source_url + fetched_at.

No scale limit, ¥3/req flat

No fixed monthly fee, no seats

Even at 1M req/month the unit price stays ¥3 (¥3.30 tax inclusive). No minimums, no annual contracts, no seat fees. Stripe metered billing keeps ops scalable; qualified invoices (T8010001213708) are issued automatically.

Primary use cases

1. Compliance check on investment candidates

Batch-submit corporate numbers for 50 seed-round candidates and tabulate enforcement (construction-business law, financial instruments law, telecom-business law, etc.), invoice-registrant status, and related-subsidy adoption. Auto-generate the prep deck for the investment committee.

2. M&A buy-side DD: 5y enforcement

Submit the target plus 30 key counterparties as one batch. check_enforcement_am surfaces serious sanctions (suspension, license revocation) for the report attachment.

3. Adoption history as a technical signal

Adoptions for NEDO, METI's monozukuri subsidy, and the SME Agency's business-restructuring program are objective markers of technical capability. search_acceptance_stats_am returns industry-level adoption rates and the target's number of selections.

4. Programs available to portfolio companies

For value-up post-investment, surface in one call the subsidies, tax incentives, and loans available to the portfolio company. Use the 181 exclusion rules to detect "this and that can't be combined" up front.

5. Invoice-system DD

Verify qualified-invoice issuer status for counterparties and suppliers by corporate number. The 13,801 invoice_registrants (PDL v1.0 attribution; monthly full update pending) provide registration date and category lookups.

Start in 5 minutes

curl (anonymous, 50 free/mo)

curl 'https://api.autonomath.ai/v1/am/enforcement?\
corporate_number=8010001213708&\
since=2021-01-01&\
limit=20'

corporate_number is the 13-digit NTA-issued ID.

Python batch (commercial, ¥3/req)

import httpx, asyncio
# Standard DD package: 3 endpoints chained per number
async def dd(num):
    async with httpx.AsyncClient(headers={"X-API-Key": "sk_..."}) as c:
        invoice = await c.get(
          f"https://api.autonomath.ai/v1/invoice_registrants/T{num}")
        enforce = await c.get(
          "https://api.autonomath.ai/v1/enforcement-cases/search",
          params={"corporate_number": num, "since": "2021-01-01"})
        cases = await c.get(
          "https://api.autonomath.ai/v1/case-studies/search",
          params={"q": num, "limit": 20})
    return {"invoice": invoice.json(), "enforcement": enforce.json(),
            "case_studies": cases.json()}
results = asyncio.run(asyncio.gather(*[dd(n) for n in nums]))

3-endpoint chain. 100 in parallel, no hard cap. One number = 3 req = ¥9 (tax exclusive).

Claude Desktop (MCP)

// claude_desktop_config.json
{
  "mcpServers": {
    "autonomath": {
      "command": "uvx",
      "args": ["autonomath-mcp"],
      "env": {"AUTONOMATH_API_KEY": "sk_..."}
    }
  }
}
// Prompt example for Claude:
// "Run the DD profile for corporate number 8010001213708"
// → MCP tool dd_profile_am(houjin_bangou=...) bundles
//   invoice / enforcement / case_studies in one shot

dd_profile_am is MCP-only (no REST equivalent). Standard DD package for one corporate number from Claude / Cursor. check_enforcement_am works the same way.

VC / M&A pricing

¥3/req metered (¥3.30 tax inclusive). No fixed monthly fee, no seat fee, no annual minimum.

VC / M&A pricing examples
Batch req Tax excl. Tax incl.
DD on 1 company (5 endpoints)5¥15¥16.50
50 investment candidates, 1 batch250¥750¥825
100 M&A counterparties, 1 batch500¥1,500¥1,650
Monthly ops (10 cases × avg 50 req)5,000¥15,000¥16,500

Stripe metered billing, qualified invoices (T8010001213708) issued automatically. Full pricing →

FAQ (VC / M&A advisors)

Can I run a 100-target DD pipeline in parallel?

Yes. ¥3/req metered with no hard cap and no 429s on spikes. 100 targets × 5 endpoints = 500 req → ¥1,500 (tax exclusive) per batch.

How far back does enforcement history go?

1,185 enforcement_cases (construction-business law, real-estate brokerage law, waste-disposal law, financial instruments law, telecom-business law, etc.). Five years by default; some municipal disclosures use different lookback windows. Each row carries source_url + fetched_at.

How do I pull adoption history?

Query the 2,286 case_studies (publicly disclosed subsidy adoptions) by corporate number or name. About 10 years of lookback, varying by program. search_acceptance_stats_am returns industry- and region-level adoption rates.

Can I check qualified-invoice registration?

13,801 invoice_registrants live as a delta-only mirror under PDL v1.0 attribution (NTA monthly bulk pending). Look up registration, registration date, and category by corporate number — essential for invoice-system DD.

Are there scale limits?

Even at enterprise scale, ¥3/req metered. No fixed monthly fee, seat fee, or annual minimum. Unit price stays at ¥3 even at 1M req/month. Stripe metered billing keeps ops scalable.

Are PII or transaction histories included?

AutonoMath handles only publicly disclosed primary sources (enforcement disclosures, adoption announcements, NTA invoice-registrant data under PDL v1.0). No personal PII, no transaction histories, no financial statements. Pair with commercial DBs for that side.

Can I plug this into automated DD reports?

Yes. Wire the MCP server directly into Claude / GPT, and integrate REST endpoints into in-house RAG. dd_profile_am returns the standard DD package for one corporate number.

Get started

Operator: Bookyou Inc. (T8010001213708) · Cancel anytime, no minimums or termination fees · Legal disclosures (JP)