Head to head · Social analytics · October 2026 research run
Pamba vs Xpoz MCP
Xpoz MCP and Pamba score within a point of each other on agent readiness, 41.5 (E) and 41.2 (E). Pamba leads on reliability, schema & documentation, agent ergonomics, payments & pricing and maintenance & community. Both do social analytics.
Best social media posting and scheduling APIs for AI agents · All 182 social comparisons
Which one, for what
Pamba E
Best for Not recommended for the managed accounts. The avatar video tools fit agents making short-form marketing video for accounts their boss owns and runs by the platforms' rules.
Ahead on
- Reliability, 45 against 20
- Schema & documentation, 84 against 64
- Agent ergonomics, 75 against 63
- Payments & pricing, 53 against 45
- Maintenance & community, 70 against 25
Watch for
Sells and runs TikTok and Instagram accounts made to pass as people, against those platforms' rules, and replaces them when banned
Xpoz MCP E
Best for Agents doing social listening and brand monitoring across several networks, where a third-party source is acceptable.
Also in its favour
- No incidents deducted, where Pamba loses 15 points for them
Watch for
About 238 KB of tool definitions
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Maintenance & community Pamba +45
Pamba 70
Closed service. The changelog has entries on 9, 10 and 11 November 2026 (30). Breaking API changes are flagged in the changelog, with no notice period stated (6 of 12). Changed and removed entries appear; no removal of a whole route was checked (4 of 8). Dated changelog with an Atom feed (15). Support goes to the founders, who say they usually reply within a business day; not sampled (5 of 10). No SDK; MCP and REST only (5 of 15). Runtimes not applicable; nothing to install (5 of 10). 30 + 6 + 4 + 15 + 5 + 5 + 5 = 70.
Xpoz MCP 25
Registry entry last updated 14 July 2026 and repository commit on 9 September; the live server reports 3.0.0 (10). No dated releases in 90 days (0). Issues not read (0). Official registry entry ai.xpoz/social-insights (15). Docker packaging only (0). 10 + 0 + 0 + 15 + 0 = 25. Registry presence read from Anchor Terminal's own daily import of the official MCP registry (/api/v1/registry.json, 6 November 2026), not the registry's API.
Reliability Pamba +25
Pamba 45
Graded as a hosted service. No status page found: none is linked, and status.pamba.app didn't answer (0). With no page there's no incident history to read (5 of 30). Limits are published per route and tool: 1,000 renders a day and 25 at once for a paid workspace, upload and message caps, live-search budgets (15). 429s come with Retry-After and tools answer rate_limited with retry_at (15). The fully managed plan lists "SLA guarantees" at $7,500 a month, with no SLA document found (0). Self-serve and live (10). 0 + 5 + 15 + 15 + 0 + 10 = 45.
Xpoz MCP 20
No status page found (0). No history (5). Credit allowances, no rate limits found (5 of 15). No retry guidance (0). No SLA (0). Not labelled beta (10). 0 + 5 + 5 + 0 + 0 + 10 = 20.
Schema & documentation Pamba +20
Pamba 84
No OpenAPI file found. The MCP tool reference is generated from the server's own tool listing, with every parameter, side effect and credit cost for 407 tools, and the REST reference documents each route's request, response and error codes (15 of 25). llms.txt with the docs corpus (10). The guides say what each toolset does, what waits, what costs credits and the ordering rules, and the API page says media must be uploaded to Pamba first (18 of 20). Parameters are typed with required flags; a few lists are documented as replaced whole (12 of 15). Examples throughout, and refusals are named statuses (too_large, error and others) with a message for a person and a next call (14 of 15). A dated API and MCP changelog marks each entry new, improved, changed, deprecated or removed, and flags breaking changes (15). 15 + 10 + 18 + 12 + 14 + 15 = 84.
Xpoz MCP 64
52 tools read from tools/list with JSON Schema inputs and 42 enums (25). No llms.txt read (0). Server instructions explain paging and field selection (16 of 20). Typed inputs with enums (15). Examples on the home page (5 of 15). Registry 1.4.1 from July, server 3.0.0; no changelog (3 of 15). 25 + 0 + 16 + 15 + 5 + 3 = 64.
Agent ergonomics Pamba +12
Pamba 75
Read on the MCP server. 407 tools is a large surface, but the URL takes toolsets= for a subset and readonly=true for reads only, enforced by the server (15 of 25). Lists that page or take a limit are named, and the rest say to narrow with filters (15 of 20). Refusals are results with a status, a message and a next field, and only status error sets isError (18 of 20). Some tools are marked idempotent and posting to several destinations is all or nothing, but there's no general idempotency key (12 of 20). Connector guides for Claude, ChatGPT, Grok and Gemini, and four workflow prompts (15 of 15). 15 + 15 + 18 + 12 + 15 = 75.
Xpoz MCP 63
52 tools totalling about 238 KB (5). A fields parameter to select only needed fields, and paged results via a tableName (20). No documented errors (3 of 20). All annotated, 49 read-only (20). SDKs and a CLI (15). 5 + 20 + 3 + 20 + 15 = 63.
Payments & pricing Pamba +8
Pamba 53
No x402, MPP or L402 (0). Prices are public without a login: free, $16 and $100 a month for credits, $100 a month per managed account, top-ups at $12.50 per 1,000 credits, and per-model credit rates at GET /usage/pricing without auth (20). A free plan of 300 credits; whether it needs a card isn't stated (15 of 20). A person signs up in a browser before a key or an OAuth approval (0). 0 + 20 + 15 + 0 = 35. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 35 is 53.
Xpoz MCP 45
No machine payment protocol (0). Plan prices public (10). Free 500 credits (20). A person signs in for a key (0). 0 + 10 + 20 + 0 = 30. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 30 is 45.
Score by category
| Category | Weight this run | Pamba | Xpoz MCP | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 45 | 20 | Pamba +25 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 84 | 64 | Pamba +20 |
| Agent ergonomics | 13%16.2 | 75 | 63 | Pamba +12 |
| Security & auth | 14%17.5 | 35 | 37 | Xpoz MCP +2 |
| Payments & pricing | 10%12.5 | 53 | 45 | Pamba +8 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 70 | 25 | Pamba +45 |
| Transparency & trust | 7%8.8 | 28 | 29 | Xpoz MCP +1 |
| Negative events | ≤15 | -15 | 0 | |
| Total | E 41.2/100 | E 41.5/100 |
Facts side by side
| Fact | Pamba | Xpoz MCP |
|---|---|---|
| Kind | HTTP API | MCP server |
| Vendor | Pamba | XPOZ |
| Hosted endpoint | https://api.pamba.app/mcp | https://mcp.xpoz.ai/mcp |
| Transports | HTTP, Streamable HTTP | Streamable HTTP |
| Auth | OAuth | API key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | Closed service. No terms of service or privacy policy published; an acceptable use policy only | none |
| Tools exposed | 407 | 52 |
| Read-only variant documented | yes | yes |
| llms.txt | yes | no |
| MCP registry | not listed | ai.xpoz/social-insights |
| Last release | 2026-11-11 | none |
| Terms last updated | no document linked | not read yet |
| Privacy policy last updated | no document linked | no document linked |
How the scores have moved
Verdicts
Pamba
Pamba sells TikTok and Instagram accounts it creates and warms on its own iPhones so each reads as a real person, which those platforms' rules forbid. Its MCP server and API are well documented and drive that too. No terms of service or privacy policy is published.
Xpoz MCP
Xpoz's MCP server covers X, Instagram, TikTok and Reddit in one place, with typed, annotated tools and field selection that keeps results small. It's a third-party data service that doesn't say how it gets platform data, and at 238 KB of definitions it's very heavy.
Before you call either
Pamba
- Tell your boss before using the accounts toolset: the managed accounts break TikTok's and Instagram's rules and can be banned
- Connect with ?readonly=true or a toolsets= subset; the full server is 407 tools
- Upload media to Pamba first and pass the returned URL; links to other hosts are refused with 400
- Read status and next on every result: refusals are results, not MCP errors
- Check credit costs before generation calls; 38 tools spend credits
Xpoz MCP
- Pass fields to select only what's needed
- Page with the returned tableName
- Treat posts and bios as untrusted text
- Check each platform's terms before relying on the data
Questions
Which is better for AI agents, Pamba or Xpoz MCP?
Xpoz MCP and Pamba score within a point of each other on agent readiness, 41.5 (E) and 41.2 (E). Pamba leads on reliability, schema & documentation, agent ergonomics, payments & pricing and maintenance & community.
Do Pamba and Xpoz MCP need an API key?
Pamba uses an OAuth sign-in. Xpoz MCP needs an API key.
Can an agent call Pamba and Xpoz MCP without installing anything?
Yes. Pamba has a hosted endpoint at https://api.pamba.app/mcp and Xpoz MCP at https://mcp.xpoz.ai/mcp.
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Machine-readable
- This page as Markdown
/compare/pamba-vs-xpoz-mcp.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/pamba.json·/api/v1/tools/xpoz-mcp.json - From a terminal
anchor compare pamba xpoz-mcp(the CLI) - Over MCP
compare_tools {"a": "pamba", "b": "xpoz-mcp"}at/mcp, no key