@payweave now supports @solana.
Accept @mpp payments with sub-second USDC settlement on @tempo or @solana .
Fully non-custodial wallets powered by @privy_io .
AI agents discover both networks and pick whichever they prefer at pay time.
https://t.co/Qxis8O7c3I client can call any MPP endpoint listed on our marketplace.
@SolanaFndn@solana_devs #solana #mpp #x402
@payweave now supports @solana.
Accept @mpp payments with sub-second USDC settlement on @tempo or @solana .
Fully non-custodial wallets powered by @privy_io .
AI agents discover both networks and pick whichever they prefer at pay time.
https://t.co/Qxis8O7c3I client can call any MPP endpoint listed on our marketplace.
@SolanaFndn@solana_devs #solana #mpp #x402
Your terminal has a wallet. Now give your API a paywall.
https://t.co/NF9g6Nl2Uh turns any endpoint, function, or file into a paid one,
auto-listed in the marketplace.
No keys. No subs. Just earn-request revenue.
This is exactly the demand side we’ve been building the supply for at @payweave
https://t.co/Qxis8O7c3I = agents with wallets.
https://t.co/LZ1Xb9dVfw = APIs, functions, and files that earn per request.
Same protocol (MPP). Same 402 flow. Two ends of the agent economy wiring up. 🤝
Give your terminal a wallet and access to pay-per-use APIs. No accounts. No keys. No subscriptions.
https://t.co/B3DekWnV1w is a CLI that works with Gemini, Claude Code, Codex, Openclaw, Hermes, and more.
Aents pull from an open marketplace covering @googlecloud and 75+ other APIs from @TektonicCompany, @PayAINetwork, @rye, @crossmint, @agentcashdev, @corbits_dev, @moonpay, @paysponge, @atxp_ai, and more.
Full tutorial below 👇
@payweave now supports @solana.
Accept @mpp payments with sub-second USDC settlement on @tempo or @solana .
Fully non-custodial wallets powered by @privy_io .
AI agents discover both networks and pick whichever they prefer at pay time.
https://t.co/Qxis8O7c3I client can call any MPP endpoint listed on our marketplace.
@SolanaFndn@solana_devs #solana #mpp #x402
Been building Traks(Web Analytics Platform) on @Cloudflare pipelines + r2 sql and honestly.
This combo is stupid good.
ingest firehoses into r2 as parquet, query it straight with sql. no warehouse, no etl glue, no ops.
The Serverless data stack is finally here.
Using it for my personal projects as i'm still digging into the exact r2 sql limits. concurrency, scan size, query duration and other limitations.
Cloudflare continues to build up its zero-egress-charges data warehouse capabilities with R2 + Pipelines
Ingest data into an Data Catalog-enabled R2 bucket, using Pipelines or other mechanisms, then run queries over it using R2 SQL or your favourite engines like Snowflake. Pipelines can ingest, transform, and load streaming data into Apache Iceberg or Parquet in R2.
Both got new features on Monday:
You can now ingest logs directly into Pipelines from your Cloudflare Workers by using Pipelines as a Logpush destination. Logs can be noisy, so using Pipelines, you can trim down to the fields you need before the data is stored in R2 in Parquet files or Apache Iceberg tables.
R2 SQL now supports functions for easily querying JSON data, alongside improving readability of EXPLAIN queries by allowing them to be formatted as JSON.
Lastly, unpartitioned Iceberg tables can now be queried directly - this should only be used for smaller tables, as partitions will significantly help performance at larger scale.
@gakonst@mpp Ability to refund out of the box. Incase of txn processed but for some reason we are unable to handle the request. or some sort of standard for refunds. otherwise everyone will design their own refund mechanism,