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Autumn AI runs live research agents at request time - reading news, filings, registries, code, job posts, and social the way an analyst would - to answer open-ended people and company research questions, rather than serving rows from a pre-built database like ZoomInfo, Clay, or Apollo.
The API details below are not linked to a current official developer page. Confirm them with the vendor before implementation.
| Plan | Price | Included | Notable |
|---|---|---|---|
| Hobby | $20/mo | 2,000 credits/mo ($0.0100 per credit) | Research Mode, Person Profiles, Company Profiles |
| Growth | $75/mo | 8,000 credits/mo ($0.0094 per credit) | Everything in Hobby, Slack Bot, Standard support (Slack) |
| Scale | $280/mo | 32,000 credits/mo ($0.0088 per credit) | Everything in Growth |
| Enterprise | Custom | Unlimited monthly credits | Dashboard, CRM Integration, Dedicated (rep.) support |
Checked 2026-08-06 against their pricing page. Vendors change pricing without notice.
Autumn AI describes itself as resolving fragmented information across the web into an index of every person in the world - their relationships, work history, contact info, and digital footprint - and pairs that index with live research agents that read primary sources (incorporation filings, news, GitHub, event pages, LinkedIn/X) at query time rather than only returning pre-indexed rows, with every output cell linked back to its source.
Sales teams researching accounts, recruiters sourcing candidates, investors mapping markets, and risk teams screening people and companies - anyone who needs deep, sourced research at scale rather than another static list, per the vendor's own FAQ.
Pricing is metered by credits with a real floor: the entry Hobby tier is $20/month for 2,000 credits, and per-credit cost only improves meaningfully at the $280/month Scale tier (32,000 credits). Zero Data Retention and SSO are listed as plan features (implying they are not available, or not available, on lower tiers), so teams with strict data-handling requirements may need to move up-tier or go Enterprise. Because it runs live research per request rather than serving from a static pre-built database, it is a different tool than a bulk-list database like ZoomInfo or Apollo, and teams that primarily need to buy large static lead lists cheaply may be better served elsewhere.
No curated rival set covers this tool yet, so these are simply other tools in the same architectural layer and product form. Treat it as a starting point, not a shortlist.
Per Autumn's own pricing-page FAQ: those are databases and workflow tools that return rows they already have. Autumn runs live research at request time - agents read news, filings, registries, code, job posts, and social the way an analyst would - so it also surfaces companies and people that no existing database has indexed yet.
No. You can sign in and run your first research task on the free tier without a credit card.
By monthly credit allotment: Hobby ($20/mo, 2,000 credits), Growth ($75/mo, 8,000 credits), Scale ($280/mo, 32,000 credits), and a custom, unlimited-credit Enterprise tier. Price per credit decreases at higher tiers, from $0.0100 down to $0.0088.
The open web: incorporation filings, LinkedIn, X, GitHub, event pages, news, code, and company sites - and every cell links back to its source so a claim can be checked in one click, per the vendor.
Yes, per the vendor: the same research agents are available over an API, so you can find companies, enrich rows, build profiles, or run screening from inside your own product. API access is listed as a feature starting on the Hobby tier.
The Hobby-tier feature list bundles "API / MCP" together as one line item, suggesting MCP access ships alongside the API, though no separate MCP documentation URL was found to confirm scope or setup.
Sales teams researching accounts, recruiters sourcing candidates, investors mapping markets, and risk teams screening people and companies, per the vendor's own FAQ.
This page tells you whether Autumn AI fits. Cheetah builds and runs the system it goes into — enrichment, sequencing, CRM and the joins between them.
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