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Apollo.io

Default for sales/research agents that already think in Apollo credits. Prefer People Data Labs for…

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Default for sales/research agents that already think in Apollo credits. Prefer People Data Labs for high-volume developer pipelines without seat tax. Strengths: Huge B2B people/company graph for GTM agents; Enrichment + sequencing in one vendor; Mature API surface.

Overall
7.7
curated_estimate
confidence: high · as of 2026-09-14
Capability fit
8.8
Price / performance
6.8
Latency / reliability
8.4
Developer & agent DX
8.0
Privacy / data retention
6.2
Lock-in risk (higher = worse)
5.5
Maturity / track record
9.0

Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.

Sources: Apollo API pricing: https://docs.apollo.io/docs/api-pricing · People Enrichment API: https://docs.apollo.io/reference/people-enrichment

Default for sales/research agents that already think in Apollo credits. Prefer People Data Labs for high-volume developer pipelines without seat tax.

Strengths

  • · Huge B2B people/company graph for GTM agents
  • · Enrichment + sequencing in one vendor
  • · Mature API surface

Weaknesses

  • · Credit/seat packaging opaque and expensive at phone scale
  • · Sales-platform gravity (not pure data API)
  • · Compliance/ToS limits on automated outreach

Pricing notes

As of 2026-09-14: Sales platform + enrichment API. People enrichment typically 1 credit for email/demographics; mobile phone often +8 credits (up to ~9 credits/person when phone returned). Seat-based Apollo plans gate credit pools — check docs.apollo.io API pricing for current credit math.

Regions: global, usLast reviewed: 2026-09-14Status: active

Sourced pricing

Contract status unavailable · no_sourced_price. Single normalized $/1M: null. Machine list: /api/pricing?provider=apollo

No sourced SKU row. Notes above stay prose.

Community signals

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