{
 "features_resolved": {
  "snapshot_any": false,
  "snapshot_mem": false,
  "fork": false,
  "pause_resume": false,
  "persistent_disk": false,
  "whole_disk": false,
  "persist_scope": null,
  "volumes": false,
  "auto_stop_idle": false,
  "long_sessions": true,
  "custom_image": null,
  "image_snapshot": false,
  "image_oci": false,
  "vm_isolation": null,
  "docker_inside": false,
  "nested_virt": false,
  "root": null,
  "systemd": null,
  "browser": false,
  "desktop": false,
  "computer_use": false,
  "code_interpreter": null,
  "browser_control": null,
  "desktop_control": null,
  "browser_and_desktop": false,
  "anti_bot": false,
  "captcha_solving": false,
  "residential_ip": null,
  "agent_harnesses": false,
  "ssh": false,
  "public_ipv4": false,
  "inbound_https": false,
  "custom_domain": null,
  "raw_tcp_inbound": null,
  "egress_allowlist": false,
  "open_internet": null,
  "static_egress_ip": false,
  "private_network": null,
  "self_host": true,
  "byoc": true,
  "open_source": true,
  "soc2": null,
  "hipaa": null,
  "sso": null,
  "gpu": true,
  "arm64": true,
  "windows": false,
  "macos": false,
  "lang_python": true,
  "lang_node": false,
  "lang_go": null,
  "lang_rust": null,
  "lang_java": null,
  "gpu_desktop": null,
  "credential_injection": null,
  "egress_http_rules": false,
  "wake_on_request": false,
  "live_resize": false,
  "fork_running": false,
  "memory_snapshot_fork": false,
  "webhooks": null,
  "scheduled_wakeups": null,
  "audit_logs": null,
  "eu_data_residency": null,
  "zero_data_retention": null,
  "scoped_api_keys": null,
  "spend_limits": null,
  "mcp_server": false,
  "usage_api": false,
  "snapshot_auto": false,
  "snapshot_on_demand": false,
  "harness_api": false,
  "own_agent_api": false,
  "fast_boot": null,
  "strong_isolation": null,
  "ingress_rules": false,
  "guest_firewall": false,
  "secret_proxy": false,
  "secret_proxy_any": false,
  "volume_attach": false,
  "volume_shared": false,
  "sidecar": null,
  "fuse": null,
  "kernel_features": null,
  "burst": null
 },
 "company": {
  "id": "eventual",
  "checked": "2026-09-30",
  "company": "Eventual (Eventual Computing, Inc.) — makers of Daft",
  "ownership": {
   "value": "independent",
   "parent": null,
   "source": "https://www.ycombinator.com/companies/eventual",
   "quote": "Eventual was founded in 2022 to solve this. ... With backing from Y Combinator, Caffeinated Capital, Array.vc, and top angels from the co-founders of Databricks and Perplexity"
  },
  "stage": {
   "value": "series-a",
   "source": "https://techcrunch.com/2025/06/24/how-a-data-processing-problem-at-lyft-became-the-basis-for-eventual/",
   "quote": "the company raised a $20 million Series A round led by Felicis with participation from Microsoft's M12 and Citi",
   "confidence": "high",
   "note": "Last priced round confirmed by TechCrunch is the Series A (June 2025). An earlier YC/angel pre-seed (Y Combinator, Caffeinated Capital, Array.vc, angels) and a $7.5M seed (CRV) preceded it."
  },
  "accelerators": [
   {
    "name": "Y Combinator",
    "batch": "W22",
    "source": "https://www.ycombinator.com/companies/eventual",
    "quote": "Y Combinator Logo Winter 2022",
    "confidence": "high",
    "via": "research"
   }
  ],
  "total_funding_usd": {
   "value": 27500000,
   "status": "confirmed",
   "basis": "Sum of the two disclosed priced rounds reported by TechCrunch: $7.5M seed + $20M Series A. Excludes an undisclosed earlier YC/angel pre-seed amount, so the true total is somewhat higher.",
   "source": "https://techcrunch.com/2025/06/24/how-a-data-processing-problem-at-lyft-became-the-basis-for-eventual/",
   "quote": "Eventual recently raised two rounds of funding within eight months. The first was a $7.5 million seed round led by CRV. More recently, the company raised a $20 million Series A round led by Felicis with participation from Microsoft's M12 and Citi."
  },
  "last_round": {
   "type": "series-a",
   "amount_usd": 20000000,
   "date": "2025-06",
   "leads": [
    "Felicis"
   ],
   "status": "confirmed",
   "source": "https://techcrunch.com/2025/06/24/how-a-data-processing-problem-at-lyft-became-the-basis-for-eventual/",
   "quote": "the company raised a $20 million Series A round led by Felicis with participation from Microsoft's M12 and Citi"
  },
  "investors": [
   "Felicis",
   "CRV",
   "Microsoft's M12",
   "Citi",
   "Y Combinator",
   "Caffeinated Capital",
   "Array.vc"
  ],
  "portfolio_listings": [
   {
    "source": "CRV",
    "company": "Eventual",
    "batch": null,
    "how": "domain"
   }
  ],
  "revenue": {
   "value": null,
   "status": "unknown"
  },
  "employees": {
   "value": 18,
   "source": "https://www.ycombinator.com/companies/eventual"
  },
  "note": "Eventual (daft.ai) is a YC W22 company confirming the task hint — same company, not a coincidence of name. Its open-source engine Daft is a Python/SQL multimodal dataframe library run on customer infrastructure (laptop, Kubernetes, or Ray); it is not an AI-agent sandbox/VM provider. Eventual is building a separate early-access, contact-only commercial robotics data platform (scenario mining / training-set curation over robot fleet video) with no public pricing. Funding: seed ($7.5M, CRV) and Series A ($20M, Felicis, with M12 and Citi) both closed within an eight-month window reported June 2025; an earlier undisclosed YC/angel round (Caffeinated Capital, Array.vc, YC) also occurred."
 },
 "id": "eventual",
 "name": "Eventual",
 "url": "https://www.eventual.ai/",
 "category": "paas",
 "isolation": null,
 "modes": [
  {
   "key": "native",
   "label": "Daft open-source self-hosted engine",
   "flags": [
    "alt"
   ],
   "os": [
    "linux"
   ],
   "regions": null,
   "gpu_only": false,
   "features": {},
   "pricing": "resource",
   "vcpu_h": null,
   "ram_gib_h": null,
   "cpu_basis": "alloc",
   "ram_basis": "alloc",
   "active_floor": 0,
   "ram_per_vcpu": [
    null,
    null
   ],
   "ram_fixed_per_vcpu": null,
   "vcpu_options": null,
   "min_vcpu": null,
   "max_vcpu": null,
   "max_ram_gib": null,
   "sizes": null,
   "pool_tiers": null,
   "requires_always_on": false,
   "always_on_month_per_instance": null,
   "commit_note": null,
   "min_billed_seconds": null,
   "granularity_s": null,
   "start_fee": null,
   "boot_overhead_s": null,
   "multiplier": 1,
   "windows_vcpu_h": null,
   "gpu": null,
   "note": "Daft software is free/open source and runs on the customer's laptop, Kubernetes or Ray infrastructure. CPU, GPU, RAM, storage, model/API and network costs are charged by those external providers; no Eventual per-resource tariff is published."
  },
  {
   "key": "eventual-commercial",
   "label": "Eventual robotics data platform",
   "flags": [
    "sales",
    "beta",
    "alt"
   ],
   "os": [
    "linux"
   ],
   "regions": null,
   "pricing": "resource",
   "vcpu_h": null,
   "ram_gib_h": null,
   "note": "Early-access/contact-only commercial platform for scenario search/mining and training-set curation over robot fleet video and telemetry. No public tariff, infrastructure model, concurrency, quota or retention terms."
  }
 ],
 "storage": {
  "included_disk_gib": null,
  "disk_gib_month": null,
  "disk_billed_when_stopped": null,
  "snapshot_gib_month": null,
  "paused_ram_billed": null
 },
 "network": {
  "egress_free_gib": null,
  "egress_gib": null,
  "ipv4_month": null,
  "ipv4_available": null
 },
 "plans": [
  {
   "name": "Daft open source",
   "fee": 0,
   "flags": [],
   "fee_is_credit": false,
   "included_usd": null,
   "per_seat": null,
   "concurrency": null,
   "max_session_h": null,
   "max_vcpu": null,
   "max_ram_gib": null,
   "sizes_allowed": null,
   "note": ""
  },
  {
   "name": "Eventual commercial platform",
   "fee": null,
   "flags": [
    "sales",
    "beta"
   ],
   "fee_is_credit": false,
   "included_usd": null,
   "per_seat": null,
   "concurrency": null,
   "max_session_h": null,
   "note": "Contact/demo only; no public pricing page."
  }
 ],
 "free": {
  "monthly_credit": null,
  "one_time_credit": null
 },
 "features": {
  "linux": true,
  "windows": false,
  "macos": false,
  "arm64": true,
  "gpu": true,
  "snapshot": "none",
  "pause_resume": false,
  "fork": false,
  "persistent_disk": false,
  "volumes": null,
  "auto_stop_idle": false,
  "max_session_h": null,
  "custom_image": null,
  "docker_inside": false,
  "nested_virt": false,
  "root": null,
  "systemd": null,
  "browser": false,
  "desktop": false,
  "computer_use": false,
  "code_interpreter": null,
  "agent_harnesses": false,
  "ssh": false,
  "public_ipv4": false,
  "inbound_https": false,
  "custom_domain": null,
  "raw_tcp_inbound": null,
  "egress_allowlist": false,
  "static_egress_ip": false,
  "private_network": null,
  "self_host": true,
  "byoc": true,
  "open_source": true,
  "soc2": null,
  "hipaa": null,
  "sso": null,
  "gpu_types": [],
  "regions": null,
  "lang_python": true,
  "lang_node": false,
  "lang_go": null,
  "lang_rust": null,
  "lang_java": null,
  "gpu_desktop": null,
  "credential_injection": null,
  "egress_http_rules": false,
  "wake_on_request": false,
  "live_resize": false,
  "fork_running": false,
  "memory_snapshot_fork": false,
  "webhooks": null,
  "scheduled_wakeups": null,
  "audit_logs": null,
  "eu_data_residency": null,
  "zero_data_retention": null,
  "scoped_api_keys": null,
  "spend_limits": null,
  "mcp_server": false,
  "gpu_scheduling": "Daft accepts fractional GPU values up to 1.0 and integer counts above 1, with max_concurrency for sharing; hardware/type/price come from the customer's infrastructure.",
  "harness_api": false,
  "image_oci": false,
  "anti_bot": false,
  "captcha_solving": false,
  "snapshot_auto": false,
  "snapshot_on_demand": false,
  "volume_attach": false,
  "volume_shared": false,
  "own_agent_api": false,
  "ingress_rules": false,
  "guest_firewall": false,
  "secret_proxy": false,
  "max_session_unlimited": true,
  "usage_api": false
 },
 "perf": {
  "cpu_runs_s": null,
  "cold_start_ms": null,
  "burst_tti_ms": null,
  "dax_s": null
 },
 "caveats": [
  "Public open-source multimodal engine and cloud/BYOC offering; arbitrary Python UDFs may fit batch compute, but no captured per-vCPU tariff. Not a general interactive sandbox. Customer infrastructure and platform price must be distinguished.",
  "Null values mean unknown, not free/unlimited. No model-token cost, tax or unverified ancillary charge included.",
  "Native browser/device/task/credit prices with unknown CPU/RAM are deliberately non-priceable. Check regime before interpreting any partial resource estimate."
 ],
 "sources": [
  "https://www.ycombinator.com/companies/eventual",
  "https://www.daft.ai/",
  "https://www.daft.ai/llms.txt"
 ],
 "audit_2026_09_29": {
  "applied": 13,
  "source": "checked against the provider's live pricing and docs pages",
  "reviewed": 2
 },
 "feature_evidence": {
  "harness_api": {
   "value": false,
   "source": "https://www.eventual.ai/early-access",
   "quote": "Eventual is the commercial platform robotics teams use to mine scenarios and curate training sets on robot fleet data.",
   "note": "Category mismatch rather than an explicit 'not supported' statement: Eventual is a robotics scenario-mining/data-curation platform and Daft is a Python/SQL dataframe engine; neither offers a sandbox or any API to drive Claude Code/Codex/etc. Daft 'AI functions' (prompt/embed/classify) call model providers per row; that is batch inference, not an agent harness.",
   "checked": "2026-09-29"
  },
  "image_oci": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - Daft is a library/engine you install into your own environment, not a machine-launching service that starts from an OCI image.",
   "checked": "2026-09-30"
  },
  "docker_inside": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - no managed machine is provided by Eventual/Daft in which to run Docker.",
   "checked": "2026-09-30"
  },
  "nested_virt": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - no VM/sandbox is provided.",
   "checked": "2026-09-30"
  },
  "desktop": {
   "value": false,
   "source": "https://www.eventual.ai/",
   "quote": "Scenario Mining and Data Curation for robot fleet data.",
   "note": "not offered: outside the product's scope - a data engine and a robotics scenario-mining/curation platform, not a desktop-streaming product.",
   "checked": "2026-09-30"
  },
  "browser": {
   "value": false,
   "source": "https://www.eventual.ai/",
   "quote": "Scenario Mining and Data Curation for robot fleet data.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "computer_use": {
   "value": false,
   "source": "https://www.eventual.ai/",
   "quote": "Scenario Mining and Data Curation for robot fleet data.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "anti_bot": {
   "value": false,
   "source": "https://www.eventual.ai/",
   "quote": "Scenario Mining and Data Curation for robot fleet data.",
   "note": "not offered: outside the product's scope - no browser/web-automation product exists to apply anti-bot stealth to.",
   "checked": "2026-09-30"
  },
  "captcha_solving": {
   "value": false,
   "source": "https://www.eventual.ai/",
   "quote": "Scenario Mining and Data Curation for robot fleet data.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "ssh": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - Eventual provides no machine to SSH into; Daft is installed/run wherever the customer already has compute.",
   "checked": "2026-09-30"
  },
  "snapshot": {
   "value": "none",
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - no managed machine/session exists to snapshot.",
   "checked": "2026-09-30"
  },
  "snapshot_auto": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "snapshot_on_demand": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "fork": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - no machine-cloning feature exists; distributed execution is via customer's own Ray/K8s scaling.",
   "checked": "2026-09-30"
  },
  "fork_running": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "memory_snapshot_fork": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "pause_resume": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - no managed machine lifecycle is billed/controlled by Eventual.",
   "checked": "2026-09-30"
  },
  "wake_on_request": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "persistent_disk": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - storage is whatever the customer's own infra/connectors (S3, GCS, Delta Lake, etc.) provide, not a Eventual-managed disk.",
   "checked": "2026-09-30"
  },
  "volume_attach": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "volume_shared": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "auto_stop_idle": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - no managed machine idle-lifecycle exists.",
   "checked": "2026-09-30"
  },
  "live_resize": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "agent_harnesses": {
   "value": false,
   "source": "https://www.eventual.ai/early-access",
   "quote": "Eventual is the commercial platform robotics teams use to mine scenarios and curate training sets on robot fleet data.",
   "note": "not offered: outside the product's scope - a robotics scenario-mining/data-curation platform and a dataframe engine; no coding-agent-harness templates/preinstalls.",
   "checked": "2026-09-30"
  },
  "own_agent_api": {
   "value": false,
   "source": "https://www.eventual.ai/early-access",
   "quote": "Eventual is the commercial platform robotics teams use to mine scenarios and curate training sets on robot fleet data.",
   "note": "not offered: outside the product's scope - Daft's AI functions (prompt/embed/classify) call model providers per-row for batch inference; this is not a task/browser/computer-use agent API.",
   "checked": "2026-09-30"
  },
  "mcp_server": {
   "value": false,
   "source": "https://www.daft.ai/llms.txt",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - no sandbox/machine exists for an MCP server to control; llms.txt lists no MCP server.",
   "checked": "2026-09-30"
  },
  "lang_node": {
   "value": false,
   "source": "https://docs.daft.ai/llms.txt",
   "quote": "Daft is a high-performance data engine... written in Rust and exposes both SQL and Python DataFrame interfaces as first-class citizens.",
   "note": "Only Python (and SQL) interfaces are documented; no Node.js runtime/SDK is offered.",
   "checked": "2026-09-30"
  },
  "public_ipv4": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - no managed machine/network is provided.",
   "checked": "2026-09-30"
  },
  "inbound_https": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "ingress_rules": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "egress_allowlist": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - no provider-managed network exists to restrict.",
   "checked": "2026-09-30"
  },
  "egress_http_rules": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "guest_firewall": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - no VM/microVM machine is provided by Eventual to run a guest firewall in; Daft runs inside whatever the customer's own infra allows.",
   "checked": "2026-09-30"
  },
  "secret_proxy": {
   "value": false,
   "source": "https://docs.daft.ai/en/stable/ai-functions/providers.txt",
   "quote": "Providers - AI Functions",
   "note": "Model-provider API keys for Daft's AI functions are supplied by the caller (env vars/config), not injected via a first-party credential proxy.",
   "checked": "2026-09-30"
  },
  "static_egress_ip": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "windows": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope - no managed OS-specific machines are sold; the card records the modeled offering as Linux-only.",
   "checked": "2026-09-30"
  },
  "macos": {
   "value": false,
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "not offered: outside the product's scope",
   "checked": "2026-09-30"
  },
  "max_session_h": {
   "value": "none",
   "source": "https://www.daft.ai/",
   "quote": "A multimodal data engine for building, scaling, and optimizing AI workloads.",
   "note": "Daft is self-hosted software run on the customer's own laptop/Kubernetes/Ray infrastructure with no Eventual-imposed session length; the contact-only commercial Eventual platform publishes no session limit either.",
   "checked": "2026-09-30"
  },
  "arm64": {
   "value": true,
   "source": "https://pypi.org/simple/getdaft/",
   "quote": "getdaft-0.4.18-cp39-abi3-manylinux_2_24_aarch64.whl ... getdaft-0.4.18-cp39-abi3-macosx_11_0_arm64.whl",
   "note": "PyPI publishes Linux aarch64 (manylinux_2_24_aarch64) and macOS arm64 wheels for getdaft, confirming native ARM64 support for the open-source engine that this card models.",
   "checked": "2026-09-30"
  },
  "usage_api": {
   "value": false,
   "source": "https://www.eventual.ai/",
   "quote": "Early-access/contact-only commercial platform for scenario search/mining and training-set curation over robot fleet video and telemetry. No public tariff, infrastructure model, concurrency, quota or retention terms.",
   "note": "granularity: none; cost: no; Daft is self-hosted on customer infrastructure (laptop, Kubernetes, Ray) with no Eventual-managed machines or billing. The commercial robotics platform is contact-only with no published usage API, billing API, or infrastructure documentation.",
   "confidence": "high",
   "checked": "2026-10-01"
  }
 },
 "locations": [],
 "locations_source": "https://www.eventual.ai/",
 "locations_quote": "Daft software is free/open source and runs on the customer's laptop, Kubernetes or Ray infrastructure.",
 "locations_checked": "2026-10-01"
}