Grep AI is a managed AI agent platform for due diligence and compliance research, built by Parcha Labs, Inc. Parcha launched in 2023 with a compliance focus. Grep opened as a general research preview in December 2025.
Users describe a job in plain English or code, and Grep builds a reusable agent. Agents query more than 100 data sources, including SEC EDGAR, CourtListener, OFAC SDN lists, and OpenSanctions. Each report carries citations and an audit trail.
Grep says its agents learn from each run and turn repeated steps into reusable code. Code handles predictable steps, while stronger models handle judgment calls. Teams can run an agent once, across a CSV batch, or on a schedule.
Parcha Labs is backed by Y Combinator, Kindred Ventures, and Initialized Capital. Grep states SOC 2 Type II and GDPR compliance. It also states that customer data is not used to train models.
Pricing
The Free Trial includes 100 one-time credits, about 5 medium-effort tasks. Pay As You Go starts with a $20 top-up for 200 credits, and balances stay valid for 365 days. Pro costs $200/month for 1,500 credits, or $167/month billed annually. Ultra costs $500/month for 4,500 credits, or $417/month billed annually.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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Runs multiple expert agents in parallel on one task
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Custom agent builder with prompts, inputs, and output contracts
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Sanctions, PEP, and adverse media screening
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Exports reports as PDF and DOCX, plus presentation slides
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Idempotency keys prevent duplicate billing on retried runs
Use Cases
Private Equity Target Due Diligence
A deal team checks management backgrounds, competitors, and financial health for an acquisition target. Parallel agents search SEC filings and other databases. The result is a structured, cited report.
KYC and AML Customer Screening
A compliance analyst screens people and businesses against sanctions lists, PEP data, and adverse media. Grep queries these sources together and flags red flags. Reviewers receive one annotated report instead of scattered search hits.
Case Law and Regulatory Research
A lawyer researches precedents and regulatory guidance using sources such as CourtListener. Grep returns a research brief with citations. This replaces manual searching across separate legal databases.
Business Registry and Ownership Verification
A fintech onboarding team confirms a company is registered and identifies its beneficial owners. Grep queries corporate registries such as ACRA. Grep describes this as replacing half-day manual verification.
Venture Startup Evaluation
An investor reviews founder track records, market size, and competitors for an early-stage company. Grep gathers founder histories and IP data into one diligence report.
Strengths & Weaknesses
Strengths
Agents draw on more than 100 data sources, including SEC EDGAR and OFAC lists.
Reports include source citations and execution traces for audit review.
A Pay As You Go wallet allows use without a subscription.
Developers can connect through a REST API, TypeScript SDK, or MCP server.
Grep reports 91% lower model cost per alert in one 100-alert AML evaluation.
Weaknesses
API access is limited to Pro and Ultra, excluding Pay As You Go and Free Trial.
Premium data requires Pro, Ultra, or a $50 minimum Pay As You Go balance.
Team features such as SSO and pooled credits require contacting sales.
Connecting through MCP or the SDK assumes some developer familiarity.
Who Is This For?
Private equity and venture teams: Run target and founder diligence without a large analyst bench.
Legal and compliance professionals: Automate case law research, sanctions screening, and regulatory analysis.
Fintechs and financial institutions: Verify businesses and beneficial owners during onboarding.
Developers and engineering teams: Embed agents in applications using the SDK, REST API, or MCP.
Frequently Asked Questions
How many credits does a medium-effort task use?
Grep’s pricing page equates one medium-effort task to 20 credits. Actual usage varies with the effort level you choose.
Do Free Trial credits renew each month?
No. The 100 trial credits are a one-time allocation, with no recurring free allowance.
Does Grep replace a human compliance reviewer?
Grep returns cited reports with risk flags. Reviewing flagged cases and making the final decision remains your team’s responsibility.
Does Grep train models on my data?
Grep states it does not train models on customer data and uses enterprise-grade encryption. It says a SOC 2 Type II report is available on request.
Which export formats are available?
Paid tiers can export PDF and DOCX reports and generate presentation slides. The pricing page lists no exports for the Free Trial.
How do I connect Grep to a coding agent?
Add the MCP endpoint https://api.grep.ai/api/v2/mcp as a remote HTTP connector. Then complete the host’s OAuth sign-in.
Can one agent process many records?
Yes. Grep describes native batches that run one agent across a CSV of companies or documents. Agents can also run on a schedule.
Do non-developers need to write code?
No. Agents can be created by describing the job in chat. Code is optional and mainly useful for embedding agents in applications.
Which AI models does Grep use?
Grep says it selects models per step, including Claude, GPT, DeepSeek, and open-source models. You set cost and accuracy constraints rather than naming a model.
Grep connects through a remote MCP server (https://api.grep.ai/api/v2/mcp), a REST API, and a TypeScript SDK (@parcha/agentrun). Agents also query data sources such as CourtListener, SEC EDGAR, OFAC SDN lists, OpenSanctions, and ACRA.