The actual point of agentic commerce is not merely giving an agent a credit card. It is letting an agent complete purchases that are tedious, specification-heavy, research-heavy, urgent, or too small to justify a person's time.
That points toward services which can be ordered through an API but whose quality cannot be understood from an API response alone. Security assessments, compliance audits, legal work, accounting, insurance, data products, and employment checks all fit to different degrees. They are also the categories most likely to need independent reviews.
This is a practical outreach list, ranked by how directly each founder can test that thesis. Roles and profile links were checked July 19, 2026.
The first ten conversations
1. Sam Li — Thoropass
Category: Compliance audits.
Thoropass sits close to the central question: how much of a professional service can software perform, and where do trust, scope, and human judgment remain necessary? Li is already publicly thinking about AI-native professional services and audit trust.
Question to ask: What would an AI buyer need to know, beyond the API contract and price, before selecting an auditor?
2. Jan Čurn — Apify
Category: Data and API marketplace.
Apify already operates a marketplace of callable web-data tools. Čurn can speak from direct experience about ratings, provider quality, review gaming, commoditization, and what makes a marketplace useful to programmatic buyers.
Question to ask: Which reputation signals actually help buyers choose among similar Actors, and which signals get gamed?
3. Oege de Moor — XBOW
Category: API-delivered penetration testing.
Penetration testing has one of the strongest cases for an independent reputation layer. A buyer can observe the report it received, but it cannot easily observe the vulnerabilities the test missed.
Question to ask: How should an AI buyer evaluate a penetration-test provider when the most important failure is invisible?
4. Frank Tumminello — FileForms
Category: Business formation and compliance filings.
FileForms is explicitly API-first and covers formation, EINs, annual reports, registered-agent services, and foreign qualification. It is a clear example of professional work becoming programmatically purchasable.
Question to ask: When does a formation or compliance API become interchangeable infrastructure, and where does provider reputation still matter?
5. David McFarland — Coterie Insurance
Category: Commercial insurance APIs.
Coterie lets partners quote and bind commercial policies through APIs. Insurance exposes a difficult accountability chain: the buyer may interact with a platform, broker, carrier, and policy, each responsible for a different part of the outcome.
Question to ask: What should a third-party review attach to—the API platform, broker, carrier, policy, or claims experience?
6. Kimball Dean Parker — SixFifty
Category: Standardized legal services.
SixFifty is a useful test of the boundary between automated documents, attorney-reviewed work, and professional accountability. Legal work can be highly structured while remaining consequential and jurisdiction-specific.
Question to ask: Which legal outcomes can an agent safely purchase from a specification, and which still require a trusted professional relationship?
7. David J. Phillips — Fondo
Category: Startup accounting and tax.
Fondo sells recurring bookkeeping, tax, and tax-credit work to startups. That makes it a good test of whether an agent can buy an accounting outcome rather than merely buy accounting software.
Question to ask: Which parts of accounting quality can be exposed as structured evidence, and which only become visible after months of service?
8. Caleb Peffer — Firecrawl
Category: Paid web-data API.
Firecrawl is already sold as a callable API and has been purchased through an agentic-payment flow. It provides a concrete way to separate what an agent can evaluate from documentation and a response from what it can learn only through accumulated customer experience.
Question to ask: Would independent reviews improve API discovery, or do latency, reliability, and evaluation benchmarks already provide enough information?
9. Rotem Weiss — Tavily
Category: Search and research API.
Search APIs can look interchangeable at the contract level while differing by task, freshness, citation quality, coverage, and failure mode. Those differences make them a useful edge case for structured reviews.
Question to ask: What information does an agent need to choose the right search API for a particular job rather than defaulting to the most familiar provider?
10. Travis Hedge — Vouch
Category: Insurance for software companies.
Vouch is especially relevant to Talkshi's initial software-company focus. The important differences among policies, underwriting experiences, and claims support are often difficult to compare before purchase.
Question to ask: Could an AI agent meaningfully select business insurance without reputation data about underwriting and claims, or is policy-level data sufficient?
The second wave
Snehal Antani — Horizon3.ai
Autonomous penetration testing and agentic offensive security. Ask how buyers should compare coverage, findings, remediation usefulness, and false positives.
Shrav Mehta — Secureframe
Compliance automation and evidence collection. Ask where compliance software ends and trusted professional judgment begins.
Joshua Motta — Coalition
Cyber insurance distributed through APIs. Ask which parts of quote, bind, risk assessment, and claims should carry separate reputations.
Jessica McKellar — Pilot
AI-driven accounting combined with human responsibility. Ask what evidence could let an agent compare accounting providers before a year-end problem reveals poor work.
Jeff Seibert — Digits
AI-native accounting. Ask how trust, judgment, and accountability should be represented when software performs the work but a person remains responsible.
Darby Wong — Clerky
Standardized startup legal workflows. Ask whether agentic purchasing changes the value of a long-term legal relationship.
Will Bryk — Exa
API-native search for agents and developers. Ask how an agent should evaluate task-level quality across competing research APIs.
Kyle Mack — Middesk
Business identity and verification data. Ask how a buyer should judge data provenance, government-source gaps, correction handling, and coverage.
Daniel Yanisse — Checkr
Background checks and verified identity. Ask what independent reputation can add when the result is high-consequence but governed by regulation and dispute procedures.
Nellie Akalp — CorpNet
Business formation and compliance APIs. Ask whether buyers choose these providers primarily on coverage and price or whether support quality and error recovery remain differentiators.
A message to send
Hi — I'm building Talkshi, an independent marketplace and review layer for services that software agents can purchase over API. Your work is one of the clearest examples I've found in this category.
My current hypothesis is that the best categories are services such as compliance audits, penetration tests, legal work, accounting, and insurance: the purchase can become programmatic, but quality remains difficult for an agent to evaluate from price, specifications, and API responses alone. I'm not pitching an integration. I'd love 20 minutes to understand where you think independent reputation would be useful, redundant, or actively harmful. Would you be open to talking this week?
The three conversations most likely to change the strategy are Sam Li, Jan Čurn, and Oege de Moor. Together they cover AI-native professional services, an existing marketplace of callable tools, and a high-stakes API-delivered service whose failures are difficult for the buyer to observe.
Raymond Xu
Founder, Talkshi
talkshi.com
for contact, email (my first name) at (this domain)